Kyushu University [Hidetaka Arimura (Professor) Faculty of Medical Sciences, Department of Health Sciences]

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Hidetaka Arimura
Professor
Department of Health Sciences, Medical Quantum Sciences
Department of Health Sciences
Faculty of Medical Sciences
Last modified date：2024.04.21

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Department of Health Sciences
Graduate School of Medical Sciences

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Fundamental Radiological Sciences
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Total Priod of education and research career in the foreign country

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1.	Hidetaka Arimura, Image-Based Computer-Assisted Radiation Therapy Edited by Hidetaka Arimura, March 4, 2017, Springer, 2017.03, This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted radiation therapy. In high-precision radiation therapies, novel approaches in image engineering including computer graphics, image processing, pattern recognition, and computational anatomy play important roles in improving the accuracy of radiation therapy and assisting decision making by radiation oncology professionals, such as radiation oncologists, radiation technologists, and medical physicists, in each phase of radiation therapy. All the topics presented in this book broaden understanding of the modern medical technologies and systems for image-based computer-assisted radiation therapy. Therefore this volume will greatly benefit not only radiation oncologists and radiologists but also radiation technologists, professors in medical physics or engineering, and engineers involved in the development of products to utilize this advanced therapy..
2.	Hidetaka Arimura, Taiki Magome, Genyu Kakiuchi, Jyunpei Kuwazuru, Asumi Mizoguchi, "Computational Intelligent Image Analysis for Assisting Radiation Oncologists’ Decision Making in Radiation Treatment Planning" in Computational Intelligence in Biomedical Imaging Edited by Kenji Suzuki (The University of Chicago) pp. 83-103, Springer Science+Business Media New York, Springer, 2013.12.
3.	Hidetaka Arimura, Chiaki Tokunaga, Yasuo Yamashita, Jyunpei Kuwazuru, "Magnetic Resonance Image Analysis for Brain CAD Systems with Machine Learning" in Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis Edited by Kenji Suzuki (The University of Chicago) , IGI Global, pp. 258-296, IGI global, USA, 2012.01.

1.	Hidetaka Arimura, Mazen Soufi, Hidemi Kamezawa, Kenta Ninomiya, Masahiro Yamada, Radiomics with artificial intelligence for precision medicine in radiation therapy (review paper), Journal of Radiation Research, Volume 60 Issue 1 Page 150-157, 10.1093/jrr/rry077, 2019.01, [URL].
2.	Hidetaka Arimura, Mazen Soufi, Kenta Ninomiya, Hidemi Kamezawa, Masahiro Yamada, Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis (review paper), Radiological Physics and Technology, Volume 11 Issue 4 Page 365-374 , 2018.12.
3.	Hidetaka Arimura, Mazen Soufi, A Review on Radiomics for Personalized Medicine in Cancer Treatment, 「MEDICAL IMAGING TECHNOLOGY」第36巻第2号, 2017.12.
4.	Hidetaka Arimura, Mazen Soufi, Mohammad Haekal, Multidimensional Image Analysis for High Precision Radiation Therapy, Jpn. J. Med. Phys. Vol. 36 No. 4: 217–221 (2016), 2016.09.
5.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Yoshiyuki Shioyama, Fukai Toyofuku, Differential geometry based localization of anatomical feature points in range images of patient surfaces acquired by time-of-flight camera, IEICE Technical Report Vol.115, No.401, pp.315-319, 2016.01.
6.	Takahiro Nakamoto, Hidetaka Arimura, Tomonari Sasaki, KEN'ICHI MOROOKA, Taka-aki Hirose, Yasuhiko Nakamura, Yoshiyuki Umezu, Hiroshi Honda, Hideki Hirata, Development of a framework for estimating four-dimensional dose distributions during treatment time in stereotactic body radiation therapy for lung cancer based on therapeutic x-ray dynamic portal images , IEICE Technical Report vol.115, no.401, MI2015-86, pp.69-73,, 2016.01.
7.	Ze Jin, Hidetaka Arimura, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, A novel ellipsoid convex enhancement filter for boosting the performance in detection of asymptomatic intracranial aneurysms at 3.0 T magnetic resonance angiography, IEICE Technical Report vol. 115, no. 401, MI2015-126, pp. 257-261, 2016.01.
8.	Hidetaka Arimura, Prospects of Computational Medical Image Analysis in High Precision Radiation Therapy, 技術研究報告20140624, p.63~p.64, 2014.06.
9.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umedu, Yoshiyuki Shioyama, Fukai Toyofuku, Range-Image Guided System for Monitoring Intra-Fractional Setup Errors of Head and Neck Cancer Patients by Using an Infrared Ray Based Time-of-Flight Camera, 技術研究報告20140624, p.47 ~ p.52, 2014.06.
10.	Misato Imai, Hidetaka Arimura, Ayumi Nonaka, Katsumasa Nakamura, Yoshiyuki Shioyama, Hiroshi Honda, Hideki Hirata, Investigation of feasibility of a sparse-coding-based image similarity for retrieval of similar cases in radiation treatment planning database, International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S77-S78, 2014.06.
11.	Nguyen Tran Thi Thao, Hidetaka Arimura, Fujibuchi Toshioh, Hideki Hirata, Evaluation of dose distributions in inhomogeneous phantom for intracavitary brachytherapy with high-dose rate 192Ir source using Monte Carlo simulation., International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S289-S290, 2014.06.
12.	Yusuke Shibayama, Hidetaka Arimura, Katsumasa Nakamura, Norimasa Matsushita, Yoshiyuki Umedu, Taka-aki Hirose, Yasuhiko Nakamura, Hiroshi Honda, Hideki Hirata, Statistical representations of clinical target volume models based on distance images for prostate cancer radiation therapy, International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S60-S61, 2014.06.
13.	Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Asumi Mizoguchi, Taka-aki Hirose, Hiroshi Honda, Yoshiyuki Umedu, Yasuhiko Nakamura, Hideki Hirata, Automated estimation of four-dimensional dose distributions in stereotactic body radiotherapy based on a 2D/3D registration between EPID dynamic images and planning CT images., International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S68-S69, 2014.06.
14.	Taka-aki Hirose, Hidetaka Arimura, Yoshiyuki Umedu, Norimasa Matshishita, Yoshitaka Noguchi, Junichi Fukunaga, Tomoko Kimura, Naomi Hirano, Yoshitsugu Matsumoto, Saiji Ooga, Katsumasa Nakamura, Evaluation of a framework for determination of PTV margins based on a statistical point distribution model for CTVs in intensity modulated radiation therapy for prostate cancer, International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S373-374, 2014.06.
15.	Hidetaka Arimura, Computer-Assisted Particle Therapy System Based on Computational Anatomy Models for Treatment Planning, Proceedings of The Fifth International Symposium on the Project Computational Anatomy pp.93-96, 2014.03.
16.	Ayumi Nonaka, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Mazen Soufi, Taiki Magome, Hiroshi Honda, Hideki Hirata, Local image descriptor-based searching framework of usable similar cases in a radiation treatment planning database for stereotactic body , SPIE Medical Imaging 2014 (San Diego), Paper 9039-18, 2014.02.
17.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Taka-aki Hirose, Yoshiyuki Umezu, Fukai Toyofuku, Hideki Hirata, Automated estimation of intra-fractional patient setup errors by using range images obtained via time-of-flight camera , Proceedings of 14th International Symposium on Advanced Intelligent Systems (ISIS2013) 12 pages, 2013.11.
18.	Hidetaka Arimura, Chiaki Tokunaga, Takashi Yoshiura, Tomoyuki Ohara, Yasuo Yamashita, Fukai Toyofuku, Automated Measurement of Cerebral Cortical Thickness Based on Fuzzy Membership Map Derived from MR images for Evaluation of Alzheimer's Disease, The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) proceedings pp.7116-7119, 2013.07.
19.	Hidetaka Arimura, Ze Jin, Yoshiyuki Shioyama, Katsumasa Nakamura, Taiki Magome, Masayuki Sasaki, Automated Method for Extraction of Lung Tumors Using a Machine Learning Classifier with Knowledge of Radiation Oncologists on Data Sets of Planning CT and FDG-PET/CT images, The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) proceedings pp. 2988-2991, 2013.07.
20.	Arimura H, Kakiuchi G, Jin Z, Shioyama Y, Minohara S, Nakamura K, Honda H, Hirata H., Computer-Assisted Particle Therapy System Based on Computational Anatomy Models for Treatment Planning, Proceedings of The Fourth International Symposium on the Project "Computational Anatomy"(p.101-102), 2013.02.
21.	Nakamoto T, Arimura H, Shioyama Y, Mizoguchi A, Nakamura K, Yoshidome Y, Hirose T, Anai S, Honda H, Umezu Y, Nakamura Y, Toyofuku F, Ohki M, Hirata H., Computerized monitoring of a lung tumor motion in four-dimensional dose distribution in stereotactic body radiation, Proceedings of International Forum on Medical Imaging in Asia 2012,Vol.38, pp.1-3, 2012.11.
22.	Jin Z, Arimura　H, Shioyama Y, Kuwazuru J, Magome T, Nakamura K, Honda H, Toyofuku F, Hirata H, Sasaki M., Computer-aided Delineation of Lung Tumor Regions in Treatment Planning CT Images and PET/CT Images Using Localized Level Set Approach, IEICE Technical Report Vol. 112, No.411, pp.49-51, 2013.01.
23.	Arimura H, Kakiuchi G, Shioyama Y, Minohara S, Mizoguchi A, Nakamura K, Nakamura Y, Honda H, Toyofuku F, Ohki M, Hirata H., Computerized determination of robust beam directions against patient setup errors in hadron particle therapy , Proceedings of Workshop of Image-Guidance and Multimodal Dose Planning in Radiation Therapy, MICCAI 2012(p.82-87), 2012.10.
24.	Magome T, Arimura H, Shioyama Y, Mizoguchi A, Tokunaga C, Nakamura K, Nakamura Y, Honda H, Ohki, Toyofuku F, Hirata H, Computer-assisted determination of the usable beam arrangement from similar treatment plans in stereotactic body radiotherapy , Proceedings of Workshop of Image-Guidance and Multimodal Dose Planning in Radiation Therapy, MICCAI 2012(p.101-107), 2012.10.
25.	Jin Ze, Arimura H, Shioyama Y, Fukuta M, Magome T, Kakiuchi G, Nakamura K, Honda H, Hirata H, Toyofuku F., Computer-aided radiotherapy: extraction of bronchial regions in treatment planning CT images, World Congress Medical Physics and Biomedical Engineering (WC2012, Beijing), IFMBE Proceedings Vol.39, 2012.05.
26.	Kakiuchi G, Arimura H, Shioyama Y, Minohara S, MIzoguchi A, Honda H, Toyofuku F, Ohki M, Hirata H., Automated determination of robust beam directions against patient setup errors based on electron density spatial distribution in hadron particle therapy, World Congress Medical Physics and Biomedical Engineering (WC2012), IFMBE Proceedings Vol.39, 1772-1775, 2012.05.30,Beijing, 2012.05.
27.	Magome T, Arimura H, Shioyama Y, Mizoguchi A, Tokunaga C, Nakamura K, Honda H, Ohki M, Toyofuku F, Hirata H., Computer-assisted radiation treatment planning system for determination of beam directions based on similar cases in a database for stereotactic body radiotherapy, Proc. of SPIE Vol.8319, 83190O(8 pages), 2012.06.
28.	Arimura H, Kuwazuru J, Shioyama Y, Taniyama E, Magome T, Nakamura K, Honda H, Toyofuku F, Hirata H, Sasaki M., Automated Contouring of Tumor Regions in CT Images Using an Adaptive Level Set Method, Proceedings of The 2012 International Workshop on Advanced Image Technology, pp. 46-49, January 9-10, 2012, Ho Chi Minh City, Vietnam, 2012.01.
29.	Mizoguchi A, Arimura H, Yoshidome S, Hirose T, Shioyama Y, Anai S, Nakamura K, Honda H, Umezu Y, Hirata H, Ohki M, Toyofuku F., Real-time monitoring of a lung tumor region based on gamma evaluation during stereotactic body radiotherapy, Japan-Korea Joint Meeting on Medical Physics (JKMP), Asia-Oceania Congress of Medical Physics（AOCMP）,Fukuoka, Proc. of JKMP-AOCMP 2011, p-57, 2011.09.
30.	Tokunaga C, Arimura H, Yoshiura T, Yamashita Y, Kobayashi K, Magome T, Honda H, Hirata H, Toyofuku F, Ohki M, Automated measurement of three-dimensional cortical thicknesses in ten cerebral lobar regions for patients with Alzheimer's disease, Japan-Korea Joint Meeting on Medical Physics (JKMP), Asia-Oceania Congress of Medical Physics（AOCMP）,Fukuoka, Proc. of JKMP-AOCMP 2011, c9-1, 2011.09.
31.	Magome T, Arimura H, Shioyama Y, Tokunaga C, Nakamura K, Honda H, Ohki M, Hirata H, Toyofuku F., Automated method for determination of beam directions based on similar cases for lung stereotactic body radiotherapy, Japan-Korea Joint Meeting on Medical Physics (JKMP), Asia-Oceania Congress of Medical Physics（AOCMP）,Fukuoka, Proc. of JKMP-AOCMP 2011, young-8, 2011.09.
32.	Kuwazuru J, Arimura H, Shioyama Y, Taniyama E, Magome T, Nakamura K, Honda H, Toyofuku F, Hirata H, Sasaki M., Computerized Delineation of Gross Tumor Volumes in Treatment Planning CT Images Using an Adaptive Level Set Method, Japan-Korea Joint Meeting on Medical Physics (JKMP), Asia-Oceania Congress of Medical Physics（AOCMP）,Fukuoka, Proc. of JKMP-AOCMP 2011, p-58, 2011.09.
33.	Itano W, Arimura H, Shioyama Y, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Tachibana M, Nomoto S, Honda H, Ohki M, Toyofuku F, Hirata H., Computerized verification method for patient setup using portal images during radiation treatment of prostate cancer, International Forum on Medical Imaging in Asia (IFMIA), Proceedings of IFMIA 2011, 227-230., 2011.01.
34.	Kuwazuru J, Arimura H, Kakeda S, Yamamoto D, Magome T,Yamashita Y, Ohki M, Toyofuku F, Korogi Y., Automated Detection of Multiple Sclerosis Lesions: False Positive Removal Method Using an ANN-controlled Speed Function in a Level Set Method, International Forum on Medical Imaging in Asia (IFMIA), Proceedings of IFMIA 2011, 320-327., 2011.01.
35.	Kuwazuru J, Arimura H, Kakeda S, Yamamoto D, Magome T,Yamashita Y, Ohki M, Toyofuku F, Korogi Y., Automated Segmentation of Multiple Selerosis Candidate Regions using a Level Set Method based on an Aritificial Neural Network, Asia-Oceania Congress of Medical Physics 2010（AOCMP）, Taipei, Proc. AOCMP, p91-92, 2010.10.
36.	Itano W, Arimura H, Shioyama Y, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Tachibana M, Honda H, Hirata H., Automated Verification Method for Patient Setup Based on Digitally Reconstructed Radiography and Portal Image for Prostate Cancer Treatment, Asia-Oceania Congress of Medical Physics 2010（AOCMP）, Taipei, Proc. AOCMP, p89-90, 2010.10.
37.	Yamashita Y, Arimura H, Yoshiura T, Tokunaga C, Magome T, Monji A, NakamuraY, Ohya N, Honda H, Higashida Y, Ohki M, Toyofuku F., Computerized Classification of Patients with Alzheimer’s Disease Based on Arterial Spin-Labeled perfusion MRI. , World Automation Congress 2010 （WAC）, 2010.09.
38.	Tokunaga C, Arimura H, Yoshiura T, Yamashita Y, Magome T, Honda H, Hirata H, Toyofuku F, Ohki M., Fuzzy-Based Segmentation of Brain Parenchymal Regions with Alzheimer's Disease into Cerebral Cortex and with Matter in 3.0-T Magnetic Resonance Images, World Automation Congress 2010 （WAC）, 2010.09.
39.	Itano W, Arimura H, Shioyama Y, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Tachibana M, Nomoto S, Honda H, Ohki M, Toyofuku F, Hirata H., Automated Verification Method for Patient Setup Based on Digitally Reconstructed Radiography and Portal Image for Prostate Cancer Treatment, IEEE Xplore digital library; World Automation Congress (WAC) 2010: 1-4., 2010.09.
40.	Magome T, Arimura H, Shioyama Y, Nakamura K, Yoshitake T, Nomoto S, Anai S, Honda H, Ohki M, Toyofuku F, Onizuka Y, Higashida Y, Hirata H., Automated selection of similar cases with brain tumors using MR images for assisting radiation treatment planning, Computer Assisted Radiology and Surgery 2010; 5, Suppl1: S326-327, 2010.07.
41.	Yamashita Y, Arimura H, Yoshiura T, Tokunaga C, Magome T, Monji A, NakamuraY, Ohya N, Honda H, Ohki M, Higashida Y, Toyofuku F. , Computer-aided Classification of Patients with Alzheimer’s Disease Based on Cerebral Blood Flow Map measured by Arterial Spin Labeling MRI, Computer Assisted Radiology and Surgery 2010; 5 Suppl1, S387-388, 2010.07.
42.	Arimura H, Shioyama Y, Nakamura K, Yoshitake T, Anai S, Nomoto S, Honda H, Toyofuku F, Higashida Y, Onizuka Y, Terashima H, Hirata H., Computer-aided verification of a lung tumor location using EPID without implanted markers in stereotactic body radiotherapy, Computer Assisted Radiology and Surgery 2010; 5, Suppl1: S72-73, 2010.07.
43.	Fujita H, You J, Qin Li Q, Arimura H, Tanaka R, Sanada S, Niki N, Lee G, Hara T, Fukuoka D, Muramatsu C, Katafuchi T, Iinuma G, Miyake M, Arai Y, Moriyama N., State-of-the-art of Computer-Aided Detection/Diagnosis (CAD), ICMB International Conference on Medical Biometrics 2010; Vol.6165, pp.296-305, 2010.07.
44.	Fujita H, You J, Qin Li Q, A. Arimura H. et.al., State-of-the-art of Computer-Aided Detection/Diagnosis (CAD), ICMB International Conference on Medical Biometrics 2010, Vol.6165, 296-305, 2010.07.
45.	Arimura H, Kawata Y, Yamashita Y, Magome T, Ohki M, Toyofuku F, Higashida H, Tsuchiya K., Computerized evaluation method of white matter hyperintensities related to subcortical vascular dementia in brain MR images, Proc. of SPIE Vol. 7624 762424-1, 2010.06.
46.	Yamashita Y, Arimura H, Yoshiura T, Tokunaga C, Magome T, Monjid A, Noguchi T, Toyofuku F, Ohki M, Nakamura Y, Honda H., Computer-aided classification of patients with dementia of Alzheimer's type based on cerebral blood flow determined with arterial spin labeling technique, Proc. of SPIE Vol. 7624 76241J-1, 2010.06.
47.	Arimura H, Shioyama Y, Nakamura K, Anai S, Nomoto S, Hirata H, Honda H, Toyofuku F, Onizuka Y, Terashima H, Automated Localization Method for a Lung Tumor on EPID Images without Implanted Markers in Stereotactic Body Radiotherapy, International Journal of Radiation Oncology Biology Physics 1 November 2009 (Vol. 75, Issue 3, Page S97), 2009.11.
48.	Kawata H, Arimura H, Suefuji H, Ohkura S, Ono H, Saida H, Hayabuchi N., Automated Identification of Radioactive Iodine-125 Seed Locations using Pelvic Radiography in Prostate Brachytherapy, International Journal of Radiation Oncology Biology Physics 1 November 2009 (Vol. 75, Issue 3, Page S629-S630), 2009.11.
49.	Magome T, Arimura H, Shioyama Y, Nomoto S, Ohnishi K, Honda H, Ohki M, Toyofuku F, Onizuka Y, Hirata H., Automated Selection Method for Similar MR Images with Brain Tumors for Assisting Radiation Treatment Planning, International Journal of Radiation Oncology Biology Physics 1 November 2009 (Vol. 75, Issue 3, Page S629-S630), 2009.11.
50.	Magome T, Arimura H, Kakeda S, Yamamoto D, Kawata Y, Yamashita Y, Ohki M, Toyofuku F, Higashida Y, Korogi Y., Automated method for segmentation of white matter and gray matter regions with multiple sclerosis in 3T MR images, IEICE Technical Report （信学技報）,vol.108, no.385, 9-10., 2009.01.
51.	Kawata Y, Arimura H, Yamashita Y, Magome T, Toyofuku F, Higashida H, Ohki M, Tsuchiya K., Computerized Detection of White Matter Hyperintensity Related to Subcortical Vascular Dementia Based on Automated and Semiautomated Segmentation, IEICE Technical Report （信学技報）,vol.108, no.385, 253-254., 2009.01.
52.	Yamamoto D, Arimura H, Kakeda S, Magome T, Yamashita Y, Ohki M, Toyofuku F, Higashida Y, Korogi Y., Computerized detection of multiple sclerosis lesions based on 3.0T two-dimensional magnetic resonance images, IEICE Technical Report （信学技報）,vol.108, no.385, 505-506., 2009.01.
53.	Arimura H, Yoshiura T, Kumazawa S, Tanaka K, Koga, H, Mihara F, Honda H, Sakai S, Toyofuku F, Higashida Y., Computer-aided diagnostic method for classification of Alzheimer's disease with atrophic image features on MR images, Proc. of SPIE Vol.6915, 69151P-1 -8, 2008.06.
54.	Toyofuku F, Tokumori K, Higashida Y, Arimura H, Morishita J, Ohki M., Bone mineral imaging using a digital magnification mammography system, Proc. of SPIE Vol. 6913, 691358 , 2008.06.
55.	Arimura H, Anai S, Yoshidome S, Nakamura K, Shioyama Y, Nomoto S, Honda H, Onizuka Y, Terashima H., Computerized method for measurement of displacement vectors of target positions on EPID cine images in stereotactic radiotherapy, Proc. of SPIE Vol.6512, 65121U, 2007.06.
56.	Arimura H, Yoshiura T, Kumazawa S, Koga, H, Sakai S, Mihara F, Honda H, Ohki M, Toyofuku F, Higashida Y., Computerized method for automated measurement of thickness of cerebral cortex for 3-D MR images, Proc. of SPIE Vol.61443V, 1239-1246, 2006.06.
57.	Kumazawa S, Yoshiura T, Arimura H, Mihara F, Honda H, Higashida Y, Toyofuku F., White Matter Fiber Tractography based on a Directional Diffusion Field in Diffusion Tensor MRI, Proc. of SPIE Vol.6144, 1260-1267, 2006.06.
58.	Arimura H, Li Q, Korogi Y, Hirai T, Yamashita Y, Katsuragawa S, Ikeda R, Doi K., CAD scheme for detection of intracranial aneurysms in MRA based on 3D analysis of vessel skeletons and enhanced aneurysms, Proc. of SPIE Vol.5747, 967-974, 2005.06.
59.	Arimura H, Katsuragawa S, Ishida T, Oda N, Nakata H, Doi K., Performance evaluation of an advanced method for automated identification of view positions of chest radiographs by use of a large database, Proc. of SPIE Vol. 4684, 308 -315, 2002.06.
60.	Maeda K, Arimura H, Kawashita I, Morikawa K, Ishida T, Matsumoto M, Kanamori H, Evaluation of influence of scattered x rays on signal sharpness of radiographs produced by using a CR system, Proc. of SPIE Vol. 4682, 675-682, 2002.06.
61.	Kawashita I, Maeda K, Arimura H, Morikawa K, Ishida T., Development of an automated method for evaluation of sharpness of digital radiographs using edge method, Proc. of SPIE Vol. 4320, 331-338 , 2001.06.
62.	Arimura H, Date T, Morikawa K, Kubota H, Matsumoto M, Kanamori H., Influence of scattered x rays on object sharpness of radiographs, Proc. of SPIE Vol. 3977, 506 -513, 2000.06.
63.	Arimura H, Okawa T, Kubota H, Matsumoto M, Kanamori H., Comparison of Wiener spectra of quantum mottle for screen-film systems with modulation transfer functions, Proc. of SPIE Vol. 3336, 675 -683 , 1998.06.
64.	Arimura H, Ikari T, Okamoto M, Nakamori N, Kanamori H, Kubota H, Matsumoto M, Takigawa A., X‐ray tube voltage dependence of Wiener spectra of quantum mottle obtained by determining detective quantum efficiencies of a screen, Opt. Eng.35, p.926- 937, 1996.06.
65.	Arimura H, Okamoto M, Ikari T, Kubota H, Matsumoto M, Takigawa A, Nakamori N, Kanamori H., X-ray tube voltage dependence of three factors of radiographic mottle for single and double emulsions, Proc. of SPIE Vol. 2708, 574－587, 1996.06.
66.	Arimura H, Ikari T, Okamoto M, Kubota H, Matsumoto M, Takigawa A, Nakamori N, Kanamori H., X-ray tube voltage dependence of detective quantum efficiencies of front and back screens , Proc. of SPIE Vol. 2519, p12－23, 1995.06.
67.	Arimura H, Ikeda T, Ikari T, Kubota H, Matsumoto M, Takigawa A, Nakamori N, Kanamori H., X-ray tube voltage dependence of Rossmann's three factors in Wiener spectra of radiographic mottles of a low-speed screen/film system, Proc. of SPIE Vol. 2163, p42-53, 1994.06.

1.	YiZhi Tong, Hidetaka Arimura, Tadamasa Yoshitake, Yunhao Cui,Takumi Kodama, Yoshiyuki Shioyama, Ronnie Wirestam, Hidetake Yabuuchi., Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning, Applied Sciences 2024 (Published: 13 April 2024), https://doi.org/10.3390/app14083275, 2024.04, [URL].
2.	Yuko Isoyama-Shirakawa, Tadamasa Yoshitake, Kenta Ninomiya, Kaori Asa, Keiji Matsumoto, Yoshiyuki Shioyama, Takumi Kodama, Kousei Ishigami, Hidetaka Arimura, Combination of Clinical Factors and Radiomics Can Predict Local Recurrence and Metastasis After Stereotactic Body Radiotherapy for Non-small Cell Lung Cancer, Anticancer Res. 2023;43(11):5003-5013. , 10.21873/anticanres.16699, 2023.11, [URL].
3.	Mai Egashira, Hidetada Arimura, Kazuma Kobayashi, Kazutoshi Moriyama, Takumi Kodama, Tomoki Tokuda, Kenta Ninomiya, Hiroyuki Okamoto, Hiroshi Igaki, Magnetic Resonance-Based Imaging Biopsy with Signatures Including Topological Betti Number Features for Prediction of Primary Brain Metastatic Sites, Physical and Engineering Sciences in Medicine (Published: 21 August 2023), 2023.08, [URL].
4.	Yunhao Cui, Hidetaka Arimura, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi, Deep learning model fusion improves lung tumor segmentation accuracy across variable training-to-test dataset ratios, Physical and Engineering Sciences in Medicine (Published: 07 August 2023), 10.1007/s13246-023-01295-8, 2023.08, [URL].
5.	Kenta Ninomiya, Hidetaka Arimura, Kentaro Tanaka, Wai Yee Chan, Yutaro Kabata, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng, Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients, Computer Methods and Programs in Biomedicine (Volume 236, June 2023, 107544), 2023.06, [URL].
6.	Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno, Satoshi Ansai, CT image-based biopsy to aid prediction of HOPX expression status and prognosis for non-small cell lung cancer patients, Cancers 2023, 15(8), 2220 (Published:10 April 2022), 2023.04, [URL].
7.	Kojiro Ikushima, Hidetaka Arimura, Ryuji Yasumatsu, Hidemi Kamezawa, Kenta Ninomiya, Topology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance images, Magnetic Resonance Materials in Physics, Biology and Medicine, Published: 20 April 2023, 2023.04, [URL].
8.	Hidemi KAMEZAWA, Hidetaka ARIMURA, Recurrence prediction with local binary pattern-based dosiomics in patients with head and neck squamous cell carcinoma, Physical and Engineering Sciences in Medicine (Published: 05 December 2022), https://doi.org/10.1007/s13246-022-01201-8, 2022.12, [URL].
9.	Noriyuki Nagami, Hidetaka Arimura, Junichi Nojiri, Cui Yunhao, Kenta Ninomiya, Manabu Ogata, Mitsutoshi Oishi, Keiichi Ohira, Shigetoshi Kitamura, Hiroyuki Irie., Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images, Physical and Engineering Sciences in Medicine (Published: 05 December 2022), https://doi.org/10.1007/s13246-022-01202-7, 2022.12, [URL].
10.	Quoc Cuong Le, Hidetaka Arimura, Kenta Ninomiya, Takumi Kodama, Tetsuhiro Moriyama, Can persistent homology features capture more intrinsic in-formation about tumors from 18F-fluorodeoxyglucose positron emission tomography/computed tomography images of head and neck cancer patients?, Metabolites 12(972) 1-12, 2022.10, [URL].
11.	Masayuki Yamanouchi, Hidetaka Arimura,Takumi Kodama, Akimasa Urakami, Prediction of Intracranial Aneurysm Rupture Risk Using Non-Invasive Radiomics Analysis Based on Follow-Up Magnetic Resonance Angiography Images: A Preliminary Study, APPLIED SCIENCES-BASEL 12(17), 2022.09, [URL].
12.	Kodama Takumi, Arimura Hidetaka, Shirakawa Yumi, Ninomiya Kenta, Yoshitake Tadamasa, Shioyama Yoshiyuki., Relapse predictability of topological signature on pretreatment planning CT images of stage I non-small cell lung cancer patients before treatment with stereotactic ablative radiotherapy., Thoracic cancer 13(15) 2117-2126 , 2022.08, [URL], 本研究は、定位切除放射線治療（SABR）を受ける前のI期非小細胞肺がん（NSCLC）患者の治療前計画CT画像において、局所再発と遠隔転移に関連するトポロジカルシグネチャーの予測可能性を探ることを目的とした。反転トポロジーシグネチャーは、SABRを受ける前のI期NSCLC患者の局所再発および遠隔転移予測を改善する可能性を示した。.
13.	Kenta Ninomiya, Hidetaka Arimura, Tadamasa Yoshitake, Taka-aki Hirose, Yoshiyuki Shioyama., Synergistic combination of a topologically invariant imaging signature and a biomarker for the accurate prediction of symptomatic radiation pneumonitis before stereotactic ablative radiotherapy for lung cancer: A retrospective analysis., PloS one 17(1) e0263292, https://doi.org/10.1371/journal.pone.0263292, 2022.01, [URL], We aimed to explore the synergistic combination of a topologically invariant Betti number (BN)-based signature and a biomarker for the accurate prediction of symptomatic (grade≥2) radiation-induced pneumonitis (RP+) before stereotactic ablative radiotherapy (SABR) for lung cancer.
14.	Akimasa Urakami, Hidetaka Arimura, Yukihisa Takayama, Fumio Kinoshita, Kenta Ninomiya, Kenjiro Imada, Sumiko Watanabe, Akihiro Nishie, Yoshinao Oda, Kousei Ishigami, Stratification of prostate cancer patients into low- and high-grade groups using multiparametric magnetic resonance radiomics with dynamic contrast-enhanced image joint histograms, The Prostate 82(3) 330-344, 2022.02, [URL], This study aimed to investigate the potential of stratification of prostate cancer patients into low- and high-grade groups (GGs) using multiparametric magnetic resonance (mpMR) radiomics in conjunction with two-dimensional (2D) joint histograms computed with dynamic contrast-enhanced (DCE) images. This study suggests that the proposed approach could have the potential to stratify prostate cancer patients into low- and high-GGs..
15.	Yunhao Cui, Hidetaka Arimura, Risa Nakano, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi, Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks, Journal of Radiation Research, Volume 62, Issue 2, March 2021, Pages 346–355, https://doi.org/10.1093/jrr/rraa132, 2021.03, [URL].
16.	Kenta Ninomiya, Hidetaka Arimura, Wai Yee Chan, Kentaro Tanaka, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng, Robust identification of EGFR mutated NSCLC patients from three countries using Betti numbers, PloS one 16(1) e0244354, 2021.01, [URL], We have proposed a novel robust radiogenomics approach to the identification of epidermal growth factor receptor (EGFR) mutations among patients with non-small cell lung cancer (NSCLC) using Betti numbers (BNs).The proposed model showed higher robustness than the conventional models in the identification of EGFR mutations among NSCLC patients.The results suggested the robustness of the BN-based approach against variations in image scanner/scanning parameters..
17.	Quoc Cuong Le, Hidetaka Arimura, Kenta Ninomiya, Yutaro Kabata, Radiomic features based on Hessian index for prediction of prognosis in head-and-neck cancer patients, Scientific Reports 10, 21301 (2020), https://doi.org/10.1038/s41598-020-78338-7, 2020.12, [URL], This study demonstrated the usefulness of radiomic features based on the Hessian index of differential topology for the prediction of prognosis prior to treatment in head-and-neck (HN) cancer patients. The Hessian index, which can indicate tumor heterogeneity with convex, concave, and other points (saddle points), was calculated as the number of negative eigenvalues of the Hessian matrix at each voxel on computed tomography (CT) images. This result indicates that index features could provide more prognostic information than conventional features and further increase the prognostic value of clinical variables in HN cancer patients..
18.	Hidemi KAMEZAWA, Hidetaka ARIMURA, Ryuji YASUMATSU, Kenta NINOMIYA, Shu HASEAI, Preoperative and non-invasive approach for radiomic biomarker-based prediction of malignancy grades in patients with parotid gland cancer in magnetic resonance images, Medical Imaging and Information Sciences 2020 Volume 37 Issue 4, 2020.12, [URL].
19.	Taka-aki Hirose, Hidetaka Arimura, Kenta Ninomiya, Tadamasa Yoshitake, Jun-ichi Fukunaga, Yoshiyuki Shioyama, Radiomic prediction of radiation pneumonitis on pretreatment planning computed tomography images prior to lung cancer stereotactic body radiation therapy, Scientific Reports 10, 20424 (2020), https://doi.org/10.1038/s41598-020-77552-7, 2020.11, [URL], This study developed a radiomics-based predictive model for radiation-induced pneumonitis (RP) after lung cancer stereotactic body radiation therapy (SBRT) on pretreatment planning computed tomography (CT) images. The radiomic features calculated on pretreatment planning CT images could be predictive imaging biomarkers for RP after lung cancer SBRT.
20.	Leni Aziyus Fitria, Freddy Haryanto, Hidetaka Arimura, Cui YunHao,Kenta Ninomiya, Risa Nakano, Mohammad Haekal, Yuni Warty, Umar Fauzi, Automated classification of urinary stones based on microcomputed tomography images using convolutional neural network, Physica Medica Vol.78, October 2020, Pages 201-208, https://doi.org/10.1016/j.ejmp.2020.09.007, 2020.10, [URL].
21.	Toya R, Saito T, Matsuyama T, Kai Y, Shiraishi S, Murakami D, Yoshida R, Watakabe T, Sakamoto F, Tsuda N, Arimura H, Orita Y, Nakayama H, Oya N, Diagnostic Value of FDG-PET/CT for the Identification of Extranodal Extension in Patients With Head and Neck Squamous Cell Carcinoma., Anticancer Res. 2020;40(4):2073-2077., doi:10.21873/anticanres.14165, 2020.04.
22.	Shu Haseai, Hidetaka Arimura, Kaori Asai, Tadamasa Yoshitake, Yoshiyuki Shioyama, Similar-cases-based planning approaches with beam angle optimizations using water equivalent path length for lung stereotactic body radiation therapy, Radiological Physics and Technology, https://doi.org/10.1007/s12194-020-00558-3, 2020.03, [URL].
23.	Yudai Kai, Hidetaka Arimura, Kenta Ninomiya, Tetsuo Saito, Yoshinobu Shimohigashi, Akiko Kuraoka, Masato Maruyama, Ryo Toya, Natsuo Oya, Semi-automated prediction approach of target shifts using machine learning with anatomical features between planning and pretreatment CT images in prostate radiotherapy, Journal of Radiation Research,Volume 61, Issue 2, Pages 285–297, https://doi.org/10.1093/jrr/rrz105, 2020.03.
24.	Taka-aki Hirose, Hidetaka Arimura, Jun-ichi Fukunaga, Saiji Ohga, Tadamasa Yoshitake, Yoshiyuki Shioyama, Observer Uncertainties of Soft Tissue-based Patient Positioning in IGRT, Journal of Applied Clinical Medical Physics, Volume 21, Issue 2, Pages: 73-81, https://doi.org/10.1002/acm2.12817, 2020.01, [URL].
25.	Yudai Kai, Hidetaka Arimura, Ryo Toya, Tetsuo Saito, Tomohiko Matsuyama, Yoshiyuki Fukugawa, Shinya Shiraishi, Yoshinobu Shimohigashi, Masato Maruyama, Natsuo Oya, Comparability of rigid image registration with deformable image registration for diagnostic position PET/CT images in delineation of gross tumor volumes in nasopharyngeal carcinoma radiotherapy planning: An observer study, Japanese Journal of Radiology, vol.38, pp256–264, https://doi.org/10.1007/s11604-019-00911-6, 2020.03, [URL].
26.	Alamgir Hossain, Hidetaka ARIMURA, Fumio Kinoshita, Kenta Ninomiya, Sumiko Watanabe, Kenjiro Imada, Ryoma Koyanagi, Yoshinao Oda, Automated Approach for Estimation of Grade Groups for Prostate Cancer based on Histological Image Feature Analysis, The Prostate, Volume 80 Issue 3 Page 291-302 Published 2020, DOI:10.1002/pros.23943, 2020.02, [URL].
27.	Kenta NINOMIYA, Hidetaka ARIMURA, Homological radiomics analysis for prognostic prediction in lung cancer patients, Physica Medica: European Journal of Medical Physics, Volume 69 Page 90-100, DOI:10.1016/j.ejmp.2019.11.026, 2020.01, [URL].
28.	Motoki SASAHARA, Hidetaka ARIMURA, Kenta NINOMIYA, Takaaki HIROSE, Noriyuki NAGAMI, Yudai KAI, Yusuke SHIBAYAMA, Saiji OHGA, Junnichi FUKUNAGA , Machine-Learning-Based Framework for Estimation of Prostate Locations with Anatomical Feature Points on CBCT Images for Image-Guided Target-Based Patient Positioning in Prostate Cancer Radiotherapy, Medical Imaging and Information Sciences 2019 Volume 36 Issue 3 Pages 122-127 , https://doi.org/10.11318/mii.36.122 , 2019.10.
29.	Tran Thi Thao Nguyen, Hidetaka Arimura, Ryosuke Asamura, Taka-aki Hirose, Saiji Ohga, Jun-ichi Fukunaga, Comparison of volumetric-modulated arc therapy and intensity-modulated radiation therapy prostate cancer plans accounting for cold spots, Radiol Phys Technol. 2019 Jun;12(2):137-148. Epub 2019 Feb 25., doi: 10.1007/s12194-019-00502-0, 2019.06.
30.	Noriyuki Nagami, Hidetaka Arimura, Mazen Soufi, Mitsutoshi Ohishi, Takeshi Imaizumi, Yoshimasa Yamagushi, Kenta Ninomiya, Sunao Tokumaru, Shingo Toyama, Kanako Kawasaki, Aiko Kitazato, Satoshi Takita, Kouji Uba, Hiroyuki Irie, An approach for evaluation of delineation accuracy of GTV contours with considering interobserver variability in reference contours: Impact of MAR on radiation treatment planning, Medical Imaging and Information Sciences 2019 Volume 36 Issue 1 Pages 4-9 , https://doi.org/10.11318/mii.36.4, 2019.03.
31.	Kenta NINOMIYA, Hidetaka ARIMURA, Motoki SASAHARA, Yudai KAI, Taka-aki HIROSE, Saiji OHGA, Feasibility of anatomical feature points for estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy, Radiological Physics and Technology 2018, 11:434–444, https://doi.org/10.1007/s12194-018-0481-2, 2018.11.
32.	Taka-aki Hirose, Hidetaka Arimura, Yusuke Shibayama, Jun-ichi Fukunaga, Saiji Ohga, Effect of accounting for interfractional CTV shape variations in PTV margins on prostate cancer radiation treatment plans, Physica Medica: European Journal of Medical Physics, October 2018, Volume 54, Pages 66–76, https://doi.org/10.1016/j.ejmp.2018.09.008, 2018.10.
33.	Mazen Soufi, Hidetaka Arimura, Noriyuki Nagami, Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition-based radiomic features, Medical Physics 2018 Nov;45(11):5116-5128. Epub 2018 Oct 19., doi: 10.1002/mp.13202., 2018.10, Purpose : To identify the optimal mother wavelets in survival prediction of lung cancer patients using wavelet-decomposition-based (WDB) radiomic features in CT images. Materials and Methods: CT images of patients with histologically confirmed non-small cell lung carcinomas (NSCLCs) in Training (Dataset T; n = 162) and validation (Dataset V; n = 143) datasets were analyzed for this study. The optimal mother wavelets were identified based on the impacts of the WDB radiomic features on the patient survival times. 432 three-dimensional WDB radiomic features were calculated from regions of interest (ROI) of 162 tumor contours. A Coxnet algorithm was used to select a subset of radiomic features (signature) based on the prediction of survival times with a 5-fold cross-validation. The impacts of the radiomic features on the patients’ survival times were assessed by using a multivariate Cox proportional hazard regression (MCPHR) model. The major contribution of this study was to identify optimal mother wavelets based on a maximization of a novel ranking index (RI) incorporating the Coxnet prediction error and the summation of the p-values of the radiomic features in the MCPHR model on Dataset T. The prognostic performance of the optimal mother wavelets was validated based on the concordance index (CI) of the MCPHR models when applied to Dataset V. The proposed approach was tested by using 31 mother wavelets from 6 wavelet families that were available in a commercially available software (Matlab® 2016b). Results: The optimal mother wavelets were Symlet 5 and Biorthogonal 2.6 at 128 re-quantization levels, which yielded RIs of 4.27±0.29 (3 features) and 6.50±0.50 (5 features), respectively. The CIs of the MCPHR models of Symlet 5 were 0.66±0.03 (Dataset T) and 0.64±0.00 (Dataset V), whereas those of Biorthogonal 2.6 were 0.68±0.03 (Dataset T) and 0.62±0.02 (Dataset V). The radiomic signatures included the GLRLM-based HLH gray level non-uniformity feature that demonstrated statistically significant differences in stratifying patients with better and worse prognoses in Datasets T and V. Conclusion: This study has revealed the potential of Symlet and Biorthogonal mother wavelets in the survival prediction of lung cancer patients by using WDB radiomic features in CT images..
34.	Satoshi Yoshidome, Hidetaka Arimura, Kotaro Terashima, Masakazu Hirakawa, Taka-aki Hirose, Junichi Fukunaga, Yasuhiko Nakamura, Hiroshi Honda, Automated and robust estimation framework for lung tumor location in kilovolt cone-beam computed tomography images for target-based patient positioning in lung stereotactic body radiotherapy, Medical Imaging and Information Sciences 2018 Vol. 35 No.3, pp. 48-54, https://doi.org/10.11318/mii.35.48, 2018.09.
35.	Hidemi Kamezawa, Hidetaka Arimura, Hiroyuki Arakawa, Noboru Kameda, Investigation for a practical patient dose index for assessment of patient organ dose from cone-beam computed tomography in radiation therapy using a Monte Carlo simulation, Radiation Protection Dosimetry, Volume 181, Issue 4, 1 November 2018, Pages 333–342, https://doi.org/10.1093/rpd/ncy032, 2018.03.
36.	Mohammad Haekal, Hidetaka Arimura, Taka-aki Hirose, Yusuke Shibayama, Saiji Ohga, Junichi Fukunaga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, Computational analysis of interfractional anisotropic shape variations of the rectum in prostate cancer radiation therapy, Physica Medica: European Journal of Medical Physics, Volume 46, February 2018, Pages 168-179, https://doi.org/10.1016/j.ejmp.2017.12.019, 2018.02.
37.	Mazen Soufi, Hidetaka Arimura, Takahiro Nakamoto, Taka-aki Hirose, Saiji Ohga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, Exploration of temporal stability and prognostic power of radiomic features based on electronic portal imaging device images, Physica Medica: European Journal of Medical Physics, Volume 46, February 2018, Pages 32-44, https://doi.org/10.1016/j.ejmp.2017.11.037, 2018.02.
38.	Yasuo Kawata, Hidetaka Arimura, Koujiro Ikushima, Ze Jin, Kento Morita, Chiaki Tokunaga, Hidetake Yabu-uchi, Yoshiyuki Shioyama, Tomonari Sasaki, Hiroshi Honda, Masayuki Sasaki, Impact of Pixel-based Machine-Learning Techniques on Automated Frameworks for Delineation of Gross Tumor Volume Regions for Stereotactic Body Radiation Therapy, Physica Medica: European Journal of Medical Physics　Volume 42, October 2017, Pages 141-149, 2017.10.
39.	Noriyuki Kadoya, Kumiko Karasawa, Iori Sumida, Hidetaka Arimura, Yasumasa Kakinohana, Shigeto Kabuki, Hajime Monzen, Teiji Nishio, Hiroki Shirato, Syogo Yamada, Educational outcomes of a medical physicist program over the past 10 years in Japan, Journal of Radiation Research 1-6. DOI: https://doi.org/10.1093/jrr/rrx016 , https://doi.org/10.1093/jrr/rrx016 , 2017.04.
40.	Yusuke Shibayama, Hidetaka Arimura, Taka-aki Hirose, Takahiro Nakamoto, Tomonari Sasaki, Saiji Ohga, Norimasa Matsushita, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Investigation of interfractional shape variations based on statistical point distribution model for prostate cancer radiation therapy, Medical Physics, Volume 44, Issue 5, Pages 1837–1845, DOI:10.1002/mp.12217, First published: 20 April 2017, 10.1002/mp.12217, 2017.05, Purpose: The setup errors and organ motion errors pertaining to clinical target volume (CTV) have been considered as two major causes of uncertainties in the determination of the CTV-to-planning target volume (PTV) margins for prostate cancer radiation treatment planning. We based our study on the assumption that interfractional target shape variations are not negligible as another source of uncertainty for the determination of precise CTV-to-PTV margins. Thus, we investigated the interfractional shape variations of CTVs based on a point distribution model (PDM) for prostate cancer radiation therapy. Materials and Methods: To quantify the shape variations of CTVs, the PDM was applied for the contours of 4 types of CTV regions (low-risk, intermediate- risk, high-risk CTVs, and prostate plus entire seminal vesicles), which were delineated by considering prostate cancer risk groups on planning computed tomography (CT) and cone beam CT (CBCT) images of 73 fractions of 10 patients. The standard deviations (SDs) of the interfractional random errors for shape variations were obtained from covariance matrices based on the PDMs, which were generated from vertices of triangulated CTV surfaces. The correspondences between CTV surface vertices were determined based on a thin plate spline robust point matching algorithm. The systematic error for shape variations was defined as the average deviation between surfaces of an average CTV and planning CTVs, and the random error as the average deviation of CTV surface vertices for fractions from an average CTV surface. Results: The means of the SDs of the systematic errors for the 4 types of CTVs ranged from 1.0 to 2.0 mm along the anterior direction, 1.2 to 2.6 mm along the posterior direction, 1.0 to 2.5 mm along the superior direction, 0.9 to 1.9 mm along the inferior direction, 0.9 to 2.6 mm along the right direction, and 1.0 to 3.0 mm along the left direction. Concerning the random errors, the means of the SDs ranged from 0.9 to 1.2 mm along the anterior direction, 1.0 to 1.4 mm along the posterior direction, 0.9 to 1.3 mm along the superior direction, 0.8 to 1.0 mm along the inferior direction, 0.8 to 0.9 mm along the right direction, and 0.8 to 1.0 mm along the left direction. Conclusions: Since the shape variations were not negligible for intermediate and high risk CTVs, they should be taken into account for the determination of the CTV-to-PTV margins in radiation treatment planning of prostate cancer..
41.	Takahiro Nakamoto, Hidetaka Arimura, KENICHI MOROOKA, Yasuhiko Nakamura, Tomonari Sasaki, Taka-aki Hirose, Yoshiyuki Umedu, Hiroshi Honda, Hideki Hirata, A framework for estimating four-dimensional dose distributions during stereotactic body radiation therapy based on a 2D/3D registration technique with an adaptive transformation parameter approach, Medical Imaging and Information Sciences, Vol. 33(2016) No. 3, p.48-56, DOI:doi.org/10.11318/mii.33.48, 2016.10.
42.	Koujiro Ikushima, Hidetaka Arimura, Ze Jin, Hidetake Yabu-uchi, Jumpei Kuwazuru, Yoshiyuki Shioyama, Tomonari Sasaki, Hiroshi Honda, Masayuki Sasaki, Computer-assisted framework for machine-learning-based delineation of GTV regions on datasets of planning CT and PET/CT images, Journal of Radiation Research, Volume 58, Issue 1,123-134, Published: 23 January 2017, DOI: 10.1093/jrr/rrw082, DOI 10.1093/jrr/rrw082, 2017.01.
43.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Fauzia P. Lestari, Freddy Haryanto, Taka-aki Hirose, Yoshiyuki Umedu, Yoshiyuki Shioyama, Fukai Toyofuku, Feasibility of Differential Geometry-Based Features in Detection of Anatomical Feature Points on Patient Surfaces in Range Image-Guided Radiation Therapy, International Journal of Computer Assisted Radiology and Surgery, November 2016, Volume 11, Issue 11, pp 1993–2006, First Online: 13 June 2016, DOI:10.1007/s11548-016-1436-x, 2016.11.
44.	Yoshifumi Oku, Hidetaka Arimura, Tran Thi Thao Nguyen, Yoshiyuki Hiraki, Masahiko Toyota, Yasumasa Saigo, Takashi Yoshiura, Hideki Hirata, Investigation of whether in-room CT-based adaptive intracavitary brachytherapy for uterine cervical cancer is robust against interfractional location variations of organs and/or applicators, Journal of Radiation Research (2016) 57 (6): 677-683, 2016 Jun 13, Published: 02 December 2016, DOI:10.1093/jrr/rrw043, 2016.11.
45.	Hidemi Kamezawa, Hidetaka Arimura, Katsutoshi Shirieda, Noboru Kameda, Masafumi Ohki, Feasibility of patient dose reduction based on various noise suppression filters for cone-beam computed tomography in an image-guided patient positioning system, Physics in Medicine and Biology 2016 May 7;61(9):3609-36. Doi: 10.1088/0031-9155/61/9/3609 (Epub 2016 Apr 11), 2016.05.
46.	Ze Jin, Hidetaka Arimura, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, An Ellipsoid Convex Enhancement Filter for Detection of Asymptomatic Intracranial Aneurysm Candidates in CAD Frameworks, Medical Physics Vol.43, No.2, 951 (2016); http://dx.doi.org/10.1118/1.4940349 (Jan. 28, 2016), 2016.01.
47.	Noriyuki Kadoya, Kumiko Karasawa, Iori Sumida, Hidetaka Arimura, Syogo Yamada, The current status of education and career paths of students after completion of medical physicist programs in Japan: a survey by the Japanese Board for Medical Physicist Qualification, Radiological Physics and Technology, DOI 10.1007/s12194-015-0317-2, DOI 10.1007/s12194-015-0317-2, 2015.06.
48.	Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Asumi Mizoguchi, Taka-aki Hirose, Hiroshi Honda, Yoshiyuki Umedu, Yasuhiko Nakamura, Hideki Hirata, A computerized framework for monitoring four-dimensional dose distributions during stereotactic body radiation therapy using a portal dose image-based 2D/3D registration approach, Computerized Medical Imaging and Graphics, DOI: http://dx.doi.org/10.1016/j.compmedimag.2014.12.003, March 2015 Volume 40, Pages 1–12 , 2015.03.
49.	Satoshi Yoshidome, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Kazushige Atsumi, Hideki Yoshikawa, Kei Nishikawa, Hideki Hirata, Feasibility study of automated framework for estimating lung tumor locations for target-based patient positioning in stereotactic body radiotherapy, doi.org/10.1155/2015/653974, BioMed Research International, Article ID 653974, 2014.12.
50.	Ze Jin, Hidetaka Arimura, Yoshiyuki Shioyama, Katsumasa Nakamura, Jumpei Kuwazuru, Taiki Magome, Hidetake Yabuuchi, Hiroshi Honda, Hideki Hirata, Masayuki Sasaki, Computer-Assisted Delineation of Lung Tumor Regions in Treatment Planning CT Images with PET/CT Image Sets Based on an Optimum Contour Selection Method, Journal of Radiation Research, 10.1093/jrr/rru056, 2014 Nov;55(6):1153-62, 2014.11.
51.	Natsuo Tomita, Takeshi Kodaira, Teruki Teshima, Kazuhiko Ogawa, Yu Kumazaki, Chikako Yamauchi, Takafumi Toita, Takashi Uno, Minako Sumi, Hiroshi Onishi, Masahiro Kenjo, Katsumasa Nakamura, Hodaka Numasaki, Masahiko Koizumi, Yuki Otani, Naoto Shikama, Naoki Nakamura, Kiyotomo Matsugi, Hidetaka Arimura, Yoshiyuki Shioyama, Japanese Structure Survey of High-precision Radiotherapy in 2012 Based on Institutional Questionnaire about the Patterns of Care, Jpn J Clin Oncol., 10.1093/jjco/hyu041, 44(6)579–586, 2014.04.
52.	Hidetaka Arimura, Genyu Kakiuchi, Yoshiyuki Shioyama, Shin-ichi Minohara, Takahiro Nakamoto, Katsumasa Nakamura, Hiroshi Honda, Mutsumi Tashiro, Tatsuaki Kanai, Hideki Hirata, Quantitative evaluation of the robustness of beam directions based on power spectral analysis of water-equivalent path length image in charged particle therapy, International Journal of Intelligent Computing in Medical Sciences and Image Processing, Vol. 6, No.1, 1-16, 2014.07.
53.	Taiki Magome, Hidetaka Arimura, Yoshiyuki Shioyama, Katsumasa Nakamura, Hiroshi Honda, Hideki Hirata, Similar-case-based optimization of beam arrangements in stereotactic body radiotherapy for assisting treatment planners, BioMed Research International, Volume 2013 (2013), Article ID 309534, 10 pages, http://dx.doi.org/10.1155/2013/309534, 2013.11.
54.	Taiki Magome, Hidetaka Arimura, Yoshiyuki Shioyama, Asumi Mizoguchi, Chiaki Tokunaga, Katsumasa Nakamura, Hiroshi Honda, Masafumi Ohki, Fukai Toyofuku, ＨｉｄｅｋｉＨｉｒａｔａ, Computer-aided beam arrangement based on similar cases in radiation treatment planning databases for stereotactic lung radiation therapy., Journal of Radiation Research, 10.1093/jrr/rrs123, 54, 3, 569-577, 2013.05.
55.	Arimura H, Itano W, Shioyama Y, Matsushita N, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Yamagami A, Honda H, Ohki M, Toyofuku F, Hirata H., Computerized estimation of patient setup errors in portal images based on localized pelvic templates for prostate cancer radiotherapy, Journal of Radiation Research, 1;53(6):961-72, 2012.11.
56.	Kawata H, Arimura H, Suefuji H, Ohkura S, Saida Y, Nashiki K, Hayashida K, Kawahara T, Ohishi A, Hayabuchi N., Automated Estimation of Number of Implanted Iodine-125 Seeds for Prostate Brachytherapy based on Two-View Analysis of Pelvic Radiographs, Journal of Radiation Research, 53(5):742-52, 2012.09.
57.	Kuwazuru J, Arimura H, Kakeda S, Yamamoto D, Magome T, Yamashita Y, Ohki M, Toyofuku F, Korogi Y., Automated Detection of Multiple Sclerosis Candidate Regions in MR Images: False-Positive Removal with Use of an ANN-controlled Level Set Method, Radiological Physics and Technology , 5(1):105-13., 2012.01.
58.	Anai S, Arimura H, Nakamura K, Araki F, Matsuki T, Yoshikawa H, Yoshidome S, Shioyama Y, Honda H, Ikeda N., Estimation of focal and extra-focal radiation profiles based on Gaussian modeling in medical linear accelerators, Radiological Physics and Technology, 4(2):173-9, 2011.07.
59.	Atsumi K, Shioyama Y, Arimura H, Terashima K, Matsuki T, Ohga S, Yoshitake T, Nonoshita T, Tsurumaru D, Ohnishi K, Asai K, Matsumoto K, Nakamura K, Honda H., Esophageal Stenosis Associated with Tumor Regression in Radiation Therapy for Esophageal Cancer: Frequency and Prediction, International Journal of Radiation Oncology, Biology, Physics, 1;82(5):1973-80, 2012.04.
60.	Magome T, Arimura H, Kakeda S, Yamamoto D, Kawata Y, Yamashita Y, Higashida Y, Toyofuku F, Ohki M, Korogi Y., Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images., Radiological Physics and Technology, Volume 4, Issue 1 (2011), 61-72, 2011.01, 多発性硬化症患者の脳萎縮の程度を定量的に評価することは非常に難しい．そこで，本研究では，脳萎縮の程度を定量的に評価するために，頭部MR画像から多発性硬化症病変部を含む大脳白質・灰白質領域を自動抽出する手法を世界で初めて開発した．その結果，提案手法が多発性硬化症における大脳白質・灰白質領域を自動抽出するために有用であり，多発性硬化症患者の萎縮を評価するための，ツールとして役立つ可能性を示した．.
61.	Yamamoto D, Arimura H, Kakeda S, Magome T, Yamashita Y, Toyofuku F, Ohki M, Higashida Y, Korogi Y., Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine, Computerized Medical Imaging and Graphics, 34,404-413, 2010.05.
62.	Kawata Y, Arimura H, Yamashita Y, Magome T, Ohki M, Toyofuku F, Higashida Y, Tsuchiya K., Computer-Aided Evaluation Method of White Matter Hyperintensities Related to Subcortical Vascular Dementia Based on Magnetic Resonance Imaging, Computerized Medical Imaging and Graphics, 34,370-376, 2010.05.
63.	Yoshitake T, Shioyama Y, Nakamura K, Ohga S, Nonoshita T, Ohnishi K, Terashima K, Arimura H, Hirata H, Honda H., A clinical evaluation of visual feedback-guided breath-hold reproducibility of tumor location, Physics in Medicine and Biology, 54, 7171-7182, 2009.11.
64.	Arimura H, MagomeT, Yamashita Y, Yamamoto D., Computer-aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images, Algorithms, 2009, 2(3), 925-952, 2009.07.
65.	Yoshiura T, Noguchi T, Hiwatashi A, Togao O, Yamashita K, Nakao T, Nagao E, Kumazawa S, Arimura H, Honda H., Age-Related Microstructural Changes in Subcortical White Matter During Postadolescent Periods in Men Revealed by Diffusion-Weighted MR Imaging., Human Brain Mapping, 30(10):3142-50, 2009.10.
66.	Arimura H, Egashira Y, Shioyama Y, Nakamura K, Yoshidome S, Anai S, Nomoto S, Honda H, Toyofuku F, Higashida Y, Onizuka Y, Terashima H., Computerized method for estimation of the location of a lung tumor on EPID cine images without implanted markers in stereotactic body radiotherapy, Physics in Medicine and Biology, 54, 665-677, 2009.02.
67.	Yoshidome S, Arimura H, Kakeda S, Korogi Y, Tsuchiiya K, Katsuragawa S, Doi K, Performance evaluation of a CAD scheme for detection of intracranial aneurysms in MRA images based on a cross-validation test with four different databases. , International Journal of Computer Assisted Radiology and Surgery(CARS) , Vol.3(Suppl 1), S203-204, 2008.07.
68.	Yamamoto D, Arimura H, Kakeda S, Magome T, Yamashita Y, Ohki M, Toyofuku F, Higashida Y, Korogi Y, Computer-aided detection of multiple sclerosis lesions based on three types of blain MR images, International Journal of Computer Assisted Radiology and Surgery(CARS), Vol.3(Suppl 1), S202-203, 2008.07.
69.	Arimura H, Yoshiura T, Kumazawa S, Mihara F, Honda H, TanakaK, Koga H, Sakai S, Toyofuku F, Higashida Y., Computerized method for classification of patients with Alzheimer's disease based on segmentation of serebral cortical regions including hippocampal regions. , International Journal of Computer Assisted Radiology and Surgery(CARS), Vol.3(Suppl1), S201-202, 2008.07.
70.	Yamashita Y, Arimura H, Tsuchiya K., Computer-aided Detection of Ischemic Lesions related to Subcortical Vascular Dementia on Magnetic Resonance Images., Academic Radiology, 15:978-985, 2008.06.
71.	Yoshiura T, Kumazawa S, Noguchi T, Hiwatashi A, Togao O, Yamashita K, Arimura H, Higashida Y, Toyofuku F, Mihara F, Honda H., MR Tractography Based on Directional Diffusion Function:Validation in Somatotopic Organization of the Pyramidal Tract., Academic Radiology, Vol. 15, Issue 2, 186-192 , 2008.03.
72.	Kakeda S, Korogi Y, Arimura H, Hirai T, Katsuragawa S, Aoki T, Doi K., Diagnostic Accuracy and Reading Time to Detect Intracranial Aneurysms on MR Angiography Using a Computer-Aided Diagnosis System., American Journal of Roentgenology, Vol. 190, 459-465, 2008.03.
73.	Arimura H, Yoshiura, Kumazawa S, Tanaka K, Koga H, Mihara F, Honda H, Sakai S, Toyofuku F, Higashida Y., Automated Method for Identification of Patients With Alzheimer’s Disease Based on Three-dimensional MR Images., Academic Radiology, Vol.15, No.3, 274-284, 2008.03.
74.	Yamashita K, Yoshiura T, Arimura H, Yamashita Y, Mihara F, Noguchi T, Hiwatashi A, Togao O, Kumazawa S, Higashida Y, Honda.H., Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images., American Journal Neuroradiology, 29:1153-1158, 2008.03.
75.	Arimura H, Yoshiura T, Kumazawa S, Tanaka K, Koga H, Mihara F, Honda H, Sakai S, Toyofuku F, Higashida Y., Computer-aided diagnostic method for classification of Alzheimer's disease with atrophic image features on MR images., SPIE Proceedings, Vol.6915, 69151P-1-8, 2008.02.
76.	Toyofuku F, Tokumori K, Higashida Y, Arimura H, Morishita J, Ohki M., Bone mineral imaging using a digital magnification mammography system., SPIE Proceedings, Vol.6915, 691358-1-8, 2008.02.
77.	Arimura H, Yoshidome S, Anai S, Shioyama Y, Nakamura K, Nomoto S, Honda H, Onizuka Y, Terashima H., Automated Method for Recognition of a Tumor Displacement on EPID Without Implanted Markers in　Stereotactic Radiotherapy., International Journal of Radiation Oncology Biology Physics, Vol.69, Issue3, S685-S686, 2007.11.
78.	Arimura H, Yoshiura T, Kumazawa S, Tanaka T, Koga H, Sakai S, Mihara F, Honda H, Toyofuku F, Higashida Y., SVM-based Method for Detection of Alzheimer’s Disease with Atrophic Image Features on MR images, Proceedings of ISICE, 231-234, 2007.09.
79.	Arimura H, Yamashita Y, Tsuchiya K., Computerized Detection of Ischemic Lesions related to Subcortical Vascular Dementia on Magnetic Resonance Images, Proceedings of ISICE 2007, 235-238, 2007.09.
80.	Arimura H, Anai S, Yoshidome S, Nakamura K, Shioyama Y, Nomoto S, Honda H, Onizuka Y, Terashima H., Computerized method for measurement of displacement vectors of target positions on EPID cine images in stereotactic radiotherapy, SPIE Proceedings, Vol.6512, 65121U-1-8, 2007.05.
81.	Kumazawa S, Yoshiura T, Arimura H, Mihara F, Honda H, Higashida Y, Toyofuku F., Estimation of white matter connectivity based on a three-dimensional directional diffusion function in diffusion tensor MRI, Medical Physics, Vol.33, No.12, 4643-4652, 2006.12.
82.	Kumazawa S, Yoshiura T, Arimura H, Mihara F, Honda H, Higashida Y, Toyofuku F., Estimation of white matter tracts based on a directional diffusion function in DT-MRI, IFMBE Proceedings, Vol.14, 2433-2436, 2006.08.
83.	Arimura H, Yoshiura T, Kumazawa S, Koga H, Sakai S, Mihara F, Honda H, Toyofuku F, Higashida Y., Automated Volumetric Measurement of Cerebrospinal Fluid in Sulci and Lateral Ventricles Based on 3-D MR images, IFMBE Proceedings, Vol.14, 2184-2187, 2006.08.
84.	Kumazawa S, Yoshiura T, Arimura H, Mihara F, Honda H, Higashida Y, Toyofuku F., Visualization of white matter tracts using a directional diffusion function based tractography in DT-MRI, International Journal of Computer Assisted Radiology and Surgery, Vol.1,Supplement,1, 7-9, 2006.06.
85.	Arimura H, Li Q, Korogi Y, Hirai T, Katsuragawa S, Yamashita Y, Tsuchiya K, Doi K., Improvement and evaluation of computerized method for detection of intracranial aneurysms for 3-D MR angiography, International Journal of Computer Assisted Radiology and Surgery, Vol.1,Supplement,1, 385-386, 2006.06.
86.	Arimura H, Yoshiura T, Kumazawa S, Koga H, Sakai S, Mihara F, Honda H, Ohki M, Toyofuku F, Higashida Y., Automated method for measurement of cerebral cortical thickness for 3-D MR Images, International Journal of Computer Assisted Radiology and Surgery, Vol.1,Supplement,1, 19-20, 2006.06.
87.	Arimura H, Yoshiura T, Kumazawa S, Koga H, Sakai S, Mihara F, Honda H, Ohki M, Toyofuku F, Higashida Y., Computerized Method for Automated Measurement of Thickness of Cerebral Cortex for 3-D MR Images, SPIE Proceedings, Vol.6144, 1239-1246, 2006.05.
88.	Arimura H, Li Q, Korogi Y, Hirai T, Katsuragawa S, Yamashita Y, Tsuchiya K, Doi K, Computerized detection of intracranial aneurysms for 3D MR angiography:Feature extraction of small protrusions based on a shape-based difference image technique, Medical Physics, Vol.33, No.2, 394-401, 2006.02.
89.	Li F, Arimura H, Suzuki K, Shiraishi J, Li Q, Abe H, Engelmann R, Sone S, MacMahon H, Doi K, Computer-Aided Detection for Peripheral Lung Cancers Missed at CT: ROC Analyses without and with localization, Radiology, 10.1148/radiol.2372041555, 237, 2, 684-690, Vol. 237, pp. 684 –690, 2005.11.
90.	Hirai T, Korogi Y, Arimura H, Katsuragawa S, Kitajima M, Yamura M, Yamashita Y, Doi K, Intracranial Aneurysms at MR Angiography: Effect of Computer-aided Diagnosis on Radiologists’ Detection Performance, Radiology, 10.1148/radiol.2372041734, 237, 2, 605-610, Vol. 237, pp. 605 –610, 2005.11.
91.	Arimura H, Li Q, Korogi Y, Hirai T, Abe H, Yamashita Y, Katsuragawa S, Ikeda R, and Doi K, CAD Scheme for Detection of Intracranial Aneurysms in MRA based on 3D Analysis of Vessel Skeletons and Enhanced Aneurysms, SPIE Proc., 10.1117/12.593574, 5747, 967-974, Vol. 5747, pp. 967-974, 2005.05.
92.	Arimura H, Li Q, Korogi Y, Hirai T, Abe H, Yamashita Y, Katsuragawa S, Ikeda R, and Doi K, Automated computerized scheme for detection of unruptured intracranial aneurysms in three-dimensional MRA, Academic Radiology, 10.1016/j.acra.2004.07.011, 11, 10, 1093-1104, Vol.11, [10], 1093-1104, 2004.10.
93.	Arimura H, Katsuragawa S, Suzuki K, Li F, Shiraishi J, Sone S, and Doi K, Computerized scheme for automated detection of lung nodules in low-dose CT images for lung cancer screening, Academic Radiology, 11, [6], pp. 617-629, 2004.06.
94.	Li Q, Arimura H, and Doi K, Selective Enhancement Filters for Lung Nodules, Intracranial Aneurysms, and Breast Microcalcifications, International Congress Series, 1268, pp. 929-934, 2004.06.
95.	Arimura H, Li Q, Korogi Y, Hirai T, Abe H, Yamashita Y, Katsuragawa S, Ikeda R, and Doi K, Development of CAD scheme for automated detection of intracranial aneurysms in magnetic resonance angiography, International Congress Series, 10.1016/j.ics.2004.03.102, 1268, 1015-1020, 1268, pp. 1015-1020, 2004.06.
96.	Arimura H, Katsuragawa S, Li Q, Ishida T, and Doi K, Development of a computerized method for identifying the posteroanterior and lateral views of chest radiographs by use of a template matching technique, Medical Physics, 29, [7], 1556-1561, 2002.07.
97.	H. Arimura, S. Katsuragawa, T. Ishida, N. Oda, H. Nakata, and K. Doi, Performance evaluation of an advanced method for automatic identification of view positions of chest radiographs by use of a large database, SPIE Proceedings, 4684, pp. 308-315, 2002.05.
98.	K. Maeda, H. Arimura, I. Kawashita, K. Morikawa, T. Ishida, H. Kanamori, and M. Matsumoto, Influence of scattered x rays on the sharpness of image signal produced by a CR system, SPIE Proceedings, 4682, pp. 675-682, 2002.05.
99.	Arimura H, Date T, Morikawa K, Kubota H, Matsumoto M, and Kanamori H, Effect of scattered x rays on image signal of radiograph, Proceedings of 10th International Congress of The International Radiation Protection Association, P-7-33: pp. 1-7, 2000.05.