Kyushu University Academic Staff Educational and Research Activities Database
List of Papers
Junji Morishita Last modified date:2023.07.05

Professor / Department of Health Sciences / Department of Health Sciences / Faculty of Medical Sciences

1. @Yasuyuki Ueda1* and #Junji Morishita, Patient Identification Based on Deep Metric Learning for Preventing Human Errors in
Follow-up X-Ray Examinations, Journal od Digital Imaging, 2023.05, Biological fingerprints extracted from clinical images can be used for patient identity verification to determine
misfiled clinical images in picture archiving and communication systems. However, such methods have not been
incorporated into clinical use, and their performance can degrade with variability in the clinical images. Deep
learning can be used to improve the performance of these methods. A novel method is proposed to automatically
identify individuals among examined patients using posteroanterior (PA) and anteroposterior (AP) chest X-ray
images. The proposed method uses deep metric learning based on a deep convolutional neural network (DCNN) to
overcome the extreme classification requirements for patient validation and identification. It was trained on the NIH
chest X-ray dataset (ChestX-ray8) in three steps: preprocessing, DCNN feature extraction with an EfficientNetV2-S
backbone, and classification with deep metric learning. The proposed method was evaluated using two public
datasets and two clinical chest X-ray image datasets containing data from patients undergoing screening and hospital
care. A 1280-dimensional feature extractor pretrained for 300 epochs performed the best with an area under the
receiver operating characteristic curve of 0.9894, an equal error rate of 0.0269, and a top-1 accuracy of 0.839 on the
PadChest dataset containing both PA and AP view positions. The findings of this study provide considerable
insights into the development of automated patient identification to reduce the possibility of medical malpractice due
to human errors.
2. #Reiji KATAYAMA, Junji MORISHITA, Hedetake YABUUCHI, 医学教育のための仮想現実空間に表現した物体長計測システムの開発 Development of an object length measurement system in a virtual reality space for medical education, FUKUOKA ACTA MEDICA, 113 (通巻1173), 4, 59-72, 113,4,59-72, 2023.05, Abstract

Purpose: This study aimed to develop a prototype caliper measurement tool that exists in real space to measure the length of three-dimensional (3D) virtual reality (VR) anatomical models with acceptable accuracy and reproducibility, particularly for medical education and training.

Methods: The measurement tool was constructed using a digital caliper with two object-tracking sensors to synchronize the positions of the virtual and real jaws. The accuracy and reproducibility for measuring virtual cubes (5, 10, 25, 50, and 100 mm) and three anatomical regions of VR models for vessel, skeleton, and organ were examined. Measurements for the virtual cubes and VR anatomical models were performed by one and two raters, respectively. The degree of agreement between measurements was evaluated using intraclass correlation coefficients (ICC).

Results: The developed tool effectively connected real and VR spaces. The measurement errors of the virtual cubes were within 0.5 mm or less for all virtual cube sizes. No statistically significant differences were observed between the errors for any of the virtual cube sizes. Alternatively, measurement errors were within 0.3 mm or less for all regions of VR anatomical models. No statistically significant differences were observed between the errors for the VR anatomical models. High degrees of intra- and inter-rater measurement reliabilities in terms of the ICC were 0.99 in both.

Conclusion: The developed prototype measurement tool was effective in a VR environment with measurement errors of less than 0.5 mm and reliable ICCs for the measurement of VR objects and VR anatomical structures, especially for medical education and training..
3. Hiroshi Akamine, Junji Morishita, Taku Kuramoto, Hiroshi Hamasaki, Shinya Takarabe, Noriaki Wada, Keisuke Ishimatsu, Yasuhiro Ushijima, Toyoyuki Kato, Kousei Ishigami, Masayuki Sasaki, Improvement of the Visibility of Hepatocellular Carcinoma Lesions in Early Phase Abdominal Contrast Enhanced Computed Tomography Images: Utilization ofOptimal Pseudo-Colorization, Fukuoka ACTA MEDICA, 113, 1, 7-17, 2022.03, Purpose: The specific objectives of our study were to examine whether the visibility of hepatocellular carcinoma (HCC) lesions on early phase abdominal contrast-enhanced computed tomography (CT) images can be improved by optimal pseudo-colorization with a rainbow color map.
Methods: The chromaticity of grayscale and rainbow color maps displayed on a medical liquid-crystal display was measured using a colorimeter. The differences in the chromaticity, ∆E00, between the HCC lesion and liver parenchyma in 22 cases were evaluated. The rainbow color map was revised by changing only the window level (WL) to match the HCC lesion with a peak of ∆E00. Visual evaluation of the 22 cases was performed using Scheffe's paired comparison by ten observers. The average psychological measurement (\bar{\alpha}) was calculated using the grayscale, rainbow color map, and revised rainbow color map to examine the effectiveness of the proposed method.
Results: In all cases, the \bar{\alpha} measure was highest in the order of revised rainbow, grayscale, and rainbow. These results indicate that the visibility of HCC lesions in early phase abdominal contrast-enhanced CT images could be improved by modifying the pseudo-color map with optimal colorization based on ∆E00.
Conclusions: The visibility of HCC lesions in early phase abdominal contrast-enhanced CT images was improved by shifting only the WL setting so that the HCC contrast would match the pixel range with higher ∆E00 on the rainbow color map. This method can be applied to various cases and color maps, and the visibility of the target lesion can be easily improved..
4. Yoichiro Ikushima, Shogo Tokurei, Shusaku Sato, Kojiro Ikushima, Noriyuki Hashimoto, Junji Morishita, and Hidetake Yabuuchi, Influence of Resolution of Display Monitor and Displayed-Image Size on Spatial Resolution of CT Images with Different Image Matrix Sizes: A Phantom Study, Radiological Physics and Technology,, 2022.05, This study investigated the effect that the resolution of liquid-crystal displays (LCDs) and displayed-image sizes have on the spatial resolution of phantom computed tomography (CT) images of varying matrix sizes. A phantom was scanned for evaluating high-contrast resolution. Six types of CT image series were reconstructed from the scan data, consisting of possible combinations from two types of reconstruction kernels on the filtered back-projection method (for lung and mediastinum) and three types of matrix sizes (5122, 10242, and 20482). These images were displayed with eight types of display conditions: three types of sizes of images displayed on each of a 2-megapixel (MP) and a 3-MP color LCDs, and two types of the image sizes on a 8-MP color LCD. A total of 48 samples (six image series × eight display conditions) were evaluated by eight observers for high-contrast resolution. The high-contrast resolution of the images with a matrix size of 5122 showed no significant variations with either the displayed-image sizes or resolutions of the LCD. The high-contrast resolution of the images with 10242 and 20482 matrix sizes was affected by the displayed-image size, although a statistically significant difference was dependent on the reconstruction kernel. The resolution of the LCD affected the high-contrast resolution of only 20482-matrix-size images. In conclusion, the spatial resolution of CT images with an image matrix larger than 5122 may be affected by the resolution of the LCD and the displayed-image size..
5. Koji OURA, Noriaki IKEDA, Yongsu YOON, Toyoyuki KATO, Junji MORISHITA, Potential for personal identification using the volume of the mastoid air cells extracted from post mortem computed tomographic images, Legal Medicine, 10.1016/j.legalmed.2022.102060, 58, 2022.04, This study revealed the usefulness of volumetric analysis of mastoid air cells (MACs) extracted from postmortem computed tomography (PMCT) images in characterizing individuals. To characterize deceased persons, the MACs volumes of 61 Japanese PMCT images were measured after thresholding in Hounsfield units and based on the number of voxels on the right and left sides and the voxel size for each person. The volume differences between the right and left MACs and sex were examined. Although there were no obvious volume differences between males and females, the order of sizes on the two sides varied for each person. Moreover, deceased persons could be roughly classified using the total volume of MACs. Deceased persons with similar total volumes could be distinguished further by comparing the ratio of volumes in bilateral MACs. Although the identification process is dependent on samples and different sizes of bilateral MACs, our pilot study indicated that 81.9% (50/61) of deceased persons could be distinguished. In conclusion, volumetric analysis of MACs measured using PMCT imaging has the potential to identify individuals and reduce the number of candidates..
6. Junji Morishita, Noriaki Ikeda, Yasuyuki Ueda, Yongsu Yoon, Akiko Tshuji, Personal identification using radiological technology and advanced digital imaging: Expectations and challenges, Journal of forensic Research, 12, 8, 2021.08.
7. Junji Morishita1and Yasuyuki Ueda, New solutions for automated image recognition and identification: challenges to radiologic technology and forensic pathlogy, Radiological Physics and Technology (RPT), 10.1007/s12194-021-00611-9, 14, 2, 123-133, 2021.06, This paper outlines the history of biometrics for personal identification, the current status of the initial biological fingerprint techniques for digital chest radiography, and patient verification during medical imaging, such as computed tomography and magnetic resonance imaging. Automated image recognition and identification developed for clinical images without metadata could also be applied to the identification of victims in mass disasters or other unidentified individuals. The development of methods that are adaptive to a wide range of recent imaging modalities in the fields of radiologic technology, patient safety, forensic pathology, and forensic odontology is still in its early stages. However, its importance in practice will continue to increase in the future..
8. Shogo TOKUREI, Yoichiro IKUSHIMA, Kazuki TAKEGAMI, Munemasa OKADA, Junji MORISHITA, Medical display application for degraded image sharpness restoration based on the modulation transfer function: Initial assessment for a five-megapixel mammography display monitor, Physical and Engineering Sciences in Medicine, 10-1007/s 13246-021-01008-z, online first, 2021.05, An image-display application for medical liquid-crystal display (LCD) monitors called the sharpness recovery (SR) function has been developed to compensate for image sharpness as a function of deficiencies in the modulation transfer function (MTF) of a monitor. We investigated the effects of the SR function for a five-megapixel (MP) mammography LCD monitor on the resolution and noise properties of the displayed images by measuring the MTF and overall noise power spectrum (NPS), respectively. Furthermore, the effectiveness of the SR function for the 5-MP monitor in displaying subtle microcalcifications on digital mammograms was verified using a two-alternative-forced-choice sensitivity measurement as an initial application for medical image interpretation. Four radiologists compared the visibility of 45 regions of interest with a malignant microcalcification cluster shown on SR-processed and unprocessed mammograms. SR processing improved the MTF of the displayed images by approximately 40% at the Nyquist frequency of the 5-MP monitor, whereas it slightly increased the overall NPS values. All observers indicated that the fraction of cases considered to have better visibility of microcalcifications with the SR processing was significantly greater than that without the processing (averaging 82%, with the 95% confidence interval ranging from 70 to 93%). The SR processing for the 5-MP monitor yielded a significant improvement in the resolution properties of the displayed images, with a certain increase in the image noise. The SR function has the potential to improve the observer performance of radiologists, particularly when reading subtle microcalcifications reproduced on 5-MP monitors..
9. Hyemin Park, Yongsu Yoon, Jungmin Kim, Jungsu Kim, Hoiwoun Jeong, Nobukazu Tanaka, Junji Morishita, USE OF CLINICAL EXPOSURE INDEX AND DEVIATION INDEX BASED ON NATIONAL DIAGNOSTIC REFERENCE LEVEL AS DOSE-OPTIMIZATION TOOLS FOR GENERAL RADIOGRAPHY IN KOREA, Radiation Protection Dosimetry, 2020.11.
10. Taku Kuramoto, Shinya Takarabe, Kazutoshi Okamura, Kenshi Shiotsuki, Yusuke Shibayama, Hiroki Tsuru, Hiroshi Akamine, Masato Tatsumi, Toyoyuki Kato, Junji Morishita, Kazunori Yoshiura, Effect of differences in pixel size on image characteristics of digital intraoral radiographic systems: a physical and visual evaluation, Dentomaxillofacial Radiology, 2020.05.
11. Yuya Wada, Junji Morishita, Yongsu Yoon, Miki Okumura, Noriaki Ikeda, A simple method for automatic classification of body parts and detection of implanted metal using postmortem computed tomography scout view, Radiation Physics and Technology, 2020.07.
12. @Hyemin Park, Yongsu Yoon, Nobukazu Tanaka, Jungsu Kim, Jungmin Kim, and Junji Morishita, Feasibility of displayed exposure index in IEC standard framework as a dose optimization tool for digital radiography systems, Radiation Protection Dosimetry (2020), 0.1093/rpd/ncaa052, 189, 3, 384-394, 189,3, 384-9, 2020.04, International Electrotechnical Commission (IEC) established the framework for the use of exposure index (EI) for evaluating
the exposure conditions with various digital systems. In this study, we investigated the feasibility of EI, as per the IEC, by
comparing the EIs obtained through manual calculated and that displayed on the console of two computed radiography (CR)
and digital radiography (DR) systems with radiation beam qualities of RQA3,5,7 and 9. As a result, both two systems indicated
an uncertainty of less than 20% for both calculated and displayed EI with all beam qualities except displayed EI obtained by
RQA3. However, the displayed EI values were different even under the same exposure conditions because of the characteristics
of the imaging receptor materials, such as BaFI or CsI, of two systems. Therefore, when an operator attempts to introduce
displayed EI for managing radiation dose, it is essential to understand the characteristics of the digital system..
13. Yasuyuki Ueda, junji Morishita, Tadashi Hongyo, Biological fingerprint using scout computed tomographic images for positive patient identification, Medical Physics, 46, 10, 4600-4609, 2019.10.
14. Yusuke Kawazoe, Junji Morishita, Yusuke Matsunobu, Miki Okumura, Seitaro Shin, Yosuke Usumoto, Noriaki Ikeda,, A simple method for semi-automatic readjustment for positioning in post-mortem head computed tomography,, Forensic Radiology and Imaging, 2019; 16: 57-64., 2019; 16: 57-64., 2019.06.
15. #Taku Kuramoto, @Junji Morishita, @Toyoyuki Kato, Yasuhiko Nakamura, Variations in slice sensitivity profile for various height settings in tomosynthesis imaging: Phantom study,, Physica Medica: European Journal of Medical Physics., 2018; 53: 108-117., 2019.06.
16. Hitomi Nakamura, Junji Morishita, Yoichiro Shimizu, Yongsu Yoon, Yusuke Matsunobu, Shigehiko Katsuragawa, Hidetake Yabuuchi,, Improving image quality around subtle lung nodules by reducing artifacts in similar subtraction imaging, Radiological Physics and Technology, 2018; 11(4): 460-466., 2018.10.
17. Keishin Kawamoto, Junji Morishita, Shogo Tokurei, A method for evaluating luminance non-uniformity of displays by use of a commercially available digital camera, Radiological Physics and Technology, 2017.08.
18. Yusuke Matsunobu, Junji Morishita, Yosuke Usumoto, Miki Okumura, Noriaki IKEDA, Bone comparison identification method based on chest computed tomography imaging, Legal Medicine, 2017.08.
19. Shun Tusbaki, Junji Morishita, Yosuke Usumoto, Kyoko Sakaguchi, Yusuke Matsunobu, Yusuke Kawazoe, Miki Okumura, Noriaki Ikeda, Sex determination based on a thoracic vertebra and ribs evaluation using clinical chest radiography., Legal Medicine, 2017.06.
20. Hidetake Yabuuchi, Satoshi Kawanami, Takeshi Kamitani, Tomomi Matsumura, Yuzo Yamasaki, Junji Morishita, Hiroshi Honda, Detectability of BI-RADS category 3 or higher brest lesions and reading time on mammography: comparison between 5-MP and 8-MP LCD monitors, Acta Radiologica, 2017.04.
21. Yoichiro Shimizu, Junji Morishita, Development of a method of automated extraction of biological fingerprints from chest radiographs as preprocessing of patient recognition and identification., Radiological Physics and Technology, 2017.04.
22. Satoru Matsuo, Junji Morishita, Hiroshi Fujita, Comparison of edge enhancements by phase contrast imaging and post-processing with unsharp masking or Laplacian filtering, Medical Imaging and Information Sciences, 2016.12.
23. Masateru Kawakubo, Hiroshi Akamine, Yuzo Yamasaki, Atsushi Takemura, Kohtaro Abe, Kazuya Hosokawa, Junji Morishita, Michinobu Nagao, Three-dimensional phase contrast magnetic resonance imaging validated to assess pulmonary artery flow in patients with chronic thromboembolic pulmonary hypertension, Radiological Physics and Technology, 2016.10.
24. Young Hoon Roh, Yongsu Yoon, Kihyun Kim, Jungsu Kim, Jungmin Kim, Junji Morishita, A novel radiation detector for removing scattered radiation in chest radiography: Monte Carlo simulation-based performance evaluation, Journal of Instrumentation, 2016.10.
25. Yasuyuki Ueda, Junji Morishita, Shohei Kudomi, Katsuhiko Ueda, Usefulness of biological fingerprint in magnetic resonance imaging for patient verification, Medical & Biological Engineering & Computing, 10.1007/s11517-015-1380-x, 2016.09.
26. Yoichiro Shimizu, Yusuke Matsunobu, Junji Morishita, Evaluation of the usefulness of modified biological fingerprints in chest radiographs for patient recognition and identification, Radiological Physics and Technology, Online first, 2016.04.
27. Masateru Kawakubo, Michinobu Nagao, Seiji Kumazawa, Yuzo Yamasaki, Akiko Suyama Chishaki, Yasuhiko Nakamura, Hiroshi Honda, Junji Morishita, Evaluation of ventricular dysfunction using semi-automatic longitudinal strain analysis of four-chamber cine MR imaging, The International Journal of Cardiovascular Imaging, 10.1007/s10554-015-0771-2, 32, 2, 283-289, 2016.02.
28. Shogo Yasumatsu, Nobukazu Tanaka, Kensuke Iwase, Yoichiro Shimizu, Junji Morishita, Effect of X-ray beam quality on determination of exposure index, Radiological Physics and Technology, 10.1007/s12194-015-0340-3, 9, 1, 109-115, 2016.01.
29. Yongsu Yoon, Junji Morishita, MinSeok Park, Hyunji Kim, Kihyun Kim, Jungmin Kim, Monte Carlo simulation-based feasibility study of novel indirect flat panel detector system for removing scatter radiation, Physica Medica: European Journal of Medical Physics, doi:10.1016/j.ejmp.2015.11.008, 32, 1, 182-187, 2016.01.
30. Kento Terasaki, Fujibuchi Toshioh, Takatoshi Toyoda, Yutaka Yoshida, Tsutomu Akasaka, Akihiro Nohtomi, Junji Morishita, An evaluation of the basic characteristics of a plastic scintillating fibre detector in CT radiation fields, Radiation Protection Dosimetry, 10.1093/rpd/ncv473, Online first, 2015.11.
31. Shogo Tokurei, Junji Morishita, A method for evaluating image quality of monochrome and color displays based on luminance by use of a commercially available color digital camera, Medical Physics, 42, 8, 4773-4782, 2015.07.
32. Takuro Shiiba, Ryuichi Nishii, Masayuki Sasaki, Yasushi Kihara, Kazuhito Tsuruta, Masaji Maeda, Junji Morishita, Assessment of the efficacy of early phase parameters by 123I-MIBG dynamic imaging for distinguishing Lewy body-related diseases from Parkinson’s syndrome, Annals of Nuclear Medicine, 29, 2, 149-156, 2015.02.
33. Yuki Yano, Hidetake Yabuuchi, Akemi Kairada, Nobukazu Tanaka, Junji Morishita, Tsutomu Akasaka, Yoshio Matsuo, Takeshi Kamitani, Yuzo Yamasaki, Michinobu Nagao, Masayuki Sasaki, Detectability of simulated interstitial pneumonia on chest radiographs: comparison between irradiation side sampling indirect flat-panel detector and computed radiography, BRITISH JOURNAL OF RADIOLOGY, 10.1259/bjr.20140075, 87, 1040, 20140075, 2014.08.
34. Norisato Tsuda, Junji Morishita, Dose reduction in general radiography for adult patients by use of a dual-side-reading photostimulable phosphor plate in a computed radiography system, Radiological Physics Technology, 10.1007/s12194-014-0268-z, 7, 2, 310-315, 2014.07.
35. Yudai Yano, Junji Morishita, Hiroshi Akamine, Noriyuki Hashimoto, Yasuhiko Nakamura, Hidetake Yabuuchi, Effect of fluorescent lighting on the color of liquid-crystal displays, Radiological Physics Technology, 10.1007/s12194-014-0274-1, 7, 2, 367-372, 2014.07.
36. Yoichiro Ikushima, Junji Morishita, Hiroshi Akamine, Yasuhiko Nakamura, Noriyuki Hashimoto, Visual assessment method of angular performance in medical liquid-crystal displays by use of the ANG test pattern: effect of ambient illuminance and effectiveness of modified scoring, Radiological Physics Technology, 7, 1, 51-56, 2014.01.
37. Shinya Takarabe, Junji Morishita, Hidetake Yabuuchi, Hiroshi Akamine, Noriyuki Hashimoto, Yasuhiko Nakamura, A preliminary study for exploring the luminance ratio of liquid-crystal displays required for display of radiographs, Radiological Physics Technology, 7, 1, 73-78, 2014.01.
38. Yoichiro Ikushima, Hidetake Yabuuchi, Junji Morishita, Hiroshi Honda, Analysis of Dominant Factors Affecting Fatigue Caused by Soft-Copy Reading., Academic Radiology, 20, 11, 1448-1456, 2013.11.
39. Risa Toge, Junji Morishita, Yasuo Sasaki, Kunio Doi, Computerized image-searching method for finding correct patients for misfiled chest radiographs in a PACS sever by use of biological fingerprints, Radiological Physics and Technology, 6, 2, 437-443, 2013.07.
40. Nobukazu Tanaka, Junji Morishita, Norisato Tsuda, Masafumi Ohki, Effect of readout direction in the edge profile on the modulation transfer function of computed radiographic systems by use of the edge method, Radiological Physics and Technology, 6, 2, 474-479, 2013.07.
41. Yuki Yano, Hidetake Yabuuchi, Nobukazu Tanaka, Junji Morishita, Tsutomu Akasaka, Masayuki Sasaki, Detectability of simulated pulmonary nodules on chest radiographs:Comparison between irradiation side sampling indirect flat-paneldetector and computed radiography, European Journal of Radiology, 2013.07, Objective: To compare the detectability of simulated pulmonary nodules on chest radiographs betweenan irradiation side sampling indirect flat-panel detector (ISS-FPD) and computed radiography (CR).Materials and methods: This study was an observer performance study. Simulated pulmonary nodules of8 mm in diameter were superimposed on an anthropomorphic chest phantom. Chest radiographs wereacquired under 2 exposure levels (4 and 3.2 mAs) with the ISS-FPD and the CR. Six thoracic radiologistsevaluated all 40 images (10 patterns × 2 different exposure doses × 2 different systems) for the presenceor absence of a lesion over each of 12 defined areas on a 3-megapixel monochrome liquid-crystal display.Receiver operating characteristic (ROC) curves were obtained for observation in predefined 480 areas. Ajackknife method was used for statistical analysis. Differences with a P value of
42. Nobukazu Tanaka, Yuki Yano, Hidetake Yabuuchi, Tsutomu Akasaka, Masayuki Sasaki, Masafumi Ohki, Junji Morishita, Basic imaging properties of an indirect flat-panel detector system employing irradiation side sampling (ISS) technology for chest radiography: comparison with a computed radiographic system, Radiological Physics and Technology, 6, 1, 162-169, 2013.01.
43. Nobukazu Tanaka, Kentaro Naka, Aya Saito, Junji Morishita, Fukai Toyofuku, Masafumi Ohki, Yoshiharu Higashida, Investigation of optimum anti-scatter grid selection for digital radiography: physical imaging properties and detectability of simulated low-contrast signals, Radiological Physics and Technology, In press, 2013.01.
44. Michinobu Matsuyama, Junji Morishita, Hiroshi Akamine, Shogo Tokurei, Hidetake Yabuuchi,Yasuhiko Nakamura, Noriyuki Hashimoto, Masafumi Ohki, Effect of ambient lighting on liquid-crystal displays with different types of surface treatment, Radiological Physics and Technology, 6, 1, 121-129, 2013.01.
45. Hiroshi Akamine, Junji Morishita,Michinobu Matsuyama, Noriyuki Hashimoto, Yasuhiko Nakamura, Hidetake Yabuuchi, Effect of angular performance in the chromaticity of grayscale images displayed on medical liquid-crystal displays, Radiological Physics and Technology, In Press, 2013.01.
46. Hiroshi Akamine, Junji Morishita, Michinobu Matsuyama,Yasuhiko Nakamura, Noriyuki Hashimoto, Fukai Toyofuku, Chromaticity and correlated color temperature of the white point in medical-liquid-crystal display, Medical Physics, 39, 8, 5127-5135, 2012.08.
47. Satoru Matsuo, Junji Morishita, Tetsuro Katafuchi, Chika Honda, Hiroshi Fujita, Image-quality assessment method for digital phase-contrast imaging based on two-dimentional power spectral analysis, Radiological Physics and Techonology, 5, 1, 78-85, 2012.01.
48. Nobukazu Tanaka, Kentaro Naka, Hiroko Fukushima, Junji Morishita, Fukai Toyofuku, Masafumi Ohki, Yoshiharu Higashida, Digital magnification mammography with matched incident exposure: physical imaging properties and detectability of simulated microcalcifications, Radiological Physics and Technology, 4, 2, 156-163, 2011.07.
49. Keita Takahashi • Junji Morishita • Takeshi Hiwasa • Shiro Hatanaka • Shuji Sakai • Noriyuki Hashimoto • Yasuhiko Nakamura • Fukai Toyofuku • Yoshiharu Higashida • Masafumi Ohki, Comparison of detectability of a simple object with low contrast displayed on a high-brightness color LCD and a monochrome LCD, Radiological Physics and Technology, 10.1007/s12194-010-0095-9, 3, 2, 178-184, 2010.07.
50. Takuro Shiiba, Naofumi Tanoue, Shinji Tateoka, Masaji Maeda, Fukai Toyofuku, and Junji Morishita, Effects of ambient-light correction in luminance measurements of liquid-crystal display monitors by use of a telescopic-type luminance meter, Radiological Physics and Technology, 3(1) in press, 2010.01.
51. Keita Takahashi, Masaki Sueoka, Yongsu Yoon, Takeshi Hiwasa, Shiro Hatanaka, Yasuhiko Nakamura, Noriyuki Hashimoto, Masafumi Ohki and Junji Morishita, Detectability of a lung nodule displayed on a liquid-crystal display monitor with different maximum luminance settings., Radiological Physics and Technology, 10.1007/s12194-009-0070-, 3, 1, 10-15, 2010.01.
52. Effect of ambient light variations on luminance ratio of CRT monitor and images contrast in ultrasonography.
53. Shiro Hatanaka; Junji Morishita; Takeshi Hiwasa; Kiyoshi Dogomori; Fukai Toyofuku; Masafumi Ohki; Yoshiharu Higashida, Comparison of viewing angle and observer performances in different types of liquid-crystal display monitors, Radiological Physics and Technology, 2, 2, 104-111, 2009.08.
54. Takeshi Hiwasa, Junji Morishita, Shiro Hatanaka; Yoshiharu Higashida, Masafumi Ohki, Fukai Toyofuku, Need for liquid-crystal display monitors having the capability of rendering higher than 8 bits in display-bit depth, Radiological Physics and Technology, 2, 1, 104-111, Vol.2 No.1 p.104-p.111, 2009.01.
55. Junji Morishita, Kiyoshi Dogomori, Shiro Hatanaka, Takeshi Hiwasa, Yasuhiko Nakamura, Noriyuki Hashimoto, Yoshiharu Higashida, Fukai Toyofuku, Masafumi Ohki, Effect of test patterns on measurement of the luminance of LCD devices by use of a telescopic-type luminance meter, Radiological Physics and Technology, Vol.1            p.95-p.99, 2008.01.
56. Effect on image data resampling in evaluation of the basic imaging properties for a digital radiographic system based on a flat panel detector.
57. Evaluation of edge enhancement in a digital phase contrast imaging, [URL].
58. Satoru Matsuo, Tetsuro Katafuchi, Keiko Toyama, Junji Morishita, Katsuhiko Yamada, Hiroshi Fujita, Evaluation of edge effect due to phase contrast imaging for mammography, Medical Physics, 10.1118/1.1992087, 32, 8, 2690-2697, Vol.32 No.8 PP.2690-2697, 2005.08.
59. Junji Morishita, Hideyuki Watanabe, Shigehiko Katsuragawa,Nobuhiro Oda, Yoshiharu Sukenobu, Hiroko Okazaki, Hajime Nakata, Kunio Doi, Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors for chest radiographs, Academic Radilogy, 10.1016/j.acra.2004.11.008, 12, 1, 97-103, Vol.12 No.1
PP97-103, 2005.01.
60. Junji Morishita, Shigehiko Katsuragawa,Yasuo Sasaki, Kunio Doi, Potential usefulness of biological fingerprints in chest radiographs for automated patient recognition and identification, Academic Radiology, Vol.11 No.3 PP.309-315, 2004.03.
61. Junji Morishita, Shigehiko Katsuragawa, Keisuke Kondo, Kunio Doi, An automated patient recognition method based on an image-matching technique using previous chest radiographs in the PACS environment, Medical Physics, Vol.28 No.6 PP.1093-1097, 2001.06.
62. Laurence Monnier-Cholley, Heber MacMahon, Shigehiko Katsuragawa, Junji Morishita, Takayuki Ishida, Kunio Doi, Computer aided diagnosis for detection of interstitial opacities on chest radiographs, American Journal of Roentogenology, Vol.171 PP.1651-1656, 1998.12.
63. Junji Morishita,Shigehiko Katsuragawa, and Kunio Doi, Computer-aided Diagnosis for Interstitial Diseases in Chest Radiographs, Proceedings of Inter- national Conference on Virtual Systems and Multi Media '95 in Gifu, p.332-p.337, 1995.11.
64. Junji Morishita,Kunio Doi,Shigehiko Katsuragawa,Laurence Moninier-Cholley,and Heber MacMahon, Computer-aided diagnosis for interstitial infiltrates in chest radiographs: optical-density dependence of texture measures, Medical Physics, Vol.22 No.9
p.1515-p.1522, 1995.09.
65. Laurence Moninier-Cholley,Heber MacMahon,Shigehiko Katsuragawa,Junji Morishita,and Kunio Doi, Computerized analysis of interstitial infiltrates on chest radiographs: a new scheme based on geometric pattern features and Fourier analysis, Academic Radiology, Vol.2 No.6 p.455-p.462, 1995.06.
66. @Junji Morishita,Kunio Doi,Romain Bollen, Philip C. Bunch,Dietmar Hoeschen, Gerard Sirand-rey,and Yoshiharu Sukenobu, Comparison of two methods for accurate measurement of modulation transfer functions of screen-film systems, Medical Physics, Vol.22 No.2
p.193-p.200, 1995.02.
67. Junji Morishita,Heber MacMahon,Kunio Doi,Michael Carlin,and Yoshiharu Sukenobu, Evaluation of an asymmetric screen-film system for chest radiography, Medical Physics, Vol.21 No.11
p.1769-p.1775, 1994.11.
68. Hiroshi Fujita,Du-Yih Tsai,Takumi Itoh,Kunio Doi,Junji Morishita,Katsuhiko Ueda,and Akiyoshi Ohtsuka, A new method for determining the modulation transfer function in digital radiography, IEEE Transactions on medical imaging , Vol.11 No.1
p.34-p.39, 1992.03.
69. Du-Yih Tsai,Hiroshi Fujita,Junji Morishita,Katsuhiko Ueda,and Akiyoshi Ohtsuka, Signal-to-noise behaviors of a computed radiography system: NEQ and DQE analysis in an FCR-101, Medical Imaging Technology , Vol.7 No.4
p.416-p.424, 1989.09.
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