Kyushu University Academic Staff Educational and Research Activities Database
List of Presentations
Kazunori Yoshiura Last modified date:2019.08.19

Professor / Division of Maxillofacial Diagnostic and Surgical Sciences / Department of Dental Science / Faculty of Dental Science


Presentations
1. W. Panyarak, T. Chikui, K. Tokumori, Y. Yamashita, K. Yoshiura, Comparison among mono-exponential, IVIM, and gamma distribution models of orofacial tumors: A preliminary study, 日本歯科放射線学会第60回学術大会, 2019.06.
2. W. Panyarak, T. Chikui, Y. Yamashita, K. Yoshiura, Image quality and ADC assessment in turbo-spin echo and echo-planar diffusion-weighted MR imaging of oral and maxillofacial tumors, ESHNR, 2018.10.
3. Sitti Fadhillah Oemar Mattalitti, Toshiyuki Kawazu, Shintaro Kawano, Tatsuya Ikari, Hiroko Wada, Kazunori Yoshiura, Preoperative Estimation of Prognosis of the Patient with Tongue Cancer using Tumor Depth and Margin Shape Obtained from Ultrasonography, 12th Asian Congress of Oral & Maxillofacial Radiology, 2018.09.
4. W. Panyarak, T. Chikui, Y. Yamashita, K. Yoshiura, Image quality and ADC assessment in turbo-spin echo and echo-planar diffusion-weighted MR imaging of oral and maxillofacial tumors, 日本歯科放射線学会第59回学術大会, 2018.05.
5. Toru Chikui, Wannakamon Panyarak, Yasuo Yamashita, Toshiyuki Kawazu, Kazunori Yoshiura, The detection of recurrence of oral cancer using turbo spin echo-diffusion-weighted imaging, ASHNR 51st Annual Meeting, 2017.09.
6. Wannakamon Panyarak, Toru Chikui, Yasuo Yamashita, Kazunori Yoshiura, Image Quality Assessment in Turbo-Spin Echo Diffusion-Weighted MR Imaging and the Correlation Between the ADC Value and the Histological Features of Head and Neck Tumors, ASHNR 51st Annual Meeting, 2017.09.
7. Hiroko Furuhashi, Toru Chikui, Daisuke Inadomi, Tomoko Shiraishi, Kazunori Yoshiura, A fundamental motor stragery for playing trumpet, The 35th Annual Symposium on Medical Problems of Performing Artists, 2017.06.
8. Toshiyuki Kawazu, Sitti Fadhillah Oemar Mattalitti, Shintaro Kawano, Tatsuya Ikari, Hiroko Wada, Kazunori Yoshiura, Comparative study between ultrasonographic and histopathological findings on tongue cancer, ICDMFR2017, 2017.04.
9. Toru Chikui, Wannakamon Panyarak, Yasuo Yamashita, Shintaro Kawano, Kazunori Yoshiura, The detection of a recurrence of oral cancer using TSE-DWI, ICDMFR2017, 2017.04.
10. Tatsushi Tokuyasu, Motoji Yamamoto, Kazutoshi Okamura, Kazunori Yoshiura, Development of a training system for intraoral radiography, 2006 IEEE International Conference on Robotics and Automation, ICRA 2006, 2006, Intraoral radiography is one of the effective diagnosis method for dental clinic, which is used to examine dental caries and gum disease. A patient needs to have a small film inserted in their mouth. The position and orientation of the film are properly adjusted by the dentist. An indicator cone which directs X-ray is set up outside the patient's mouth. The intraoral radiograph provide a dental perspective projection image of the patient's teeth, thus the individual differences of patients make it more difficult to take an appropriate radiograph regardless of the experience of dentist. Recently, the skills of intraoral radiography of Japanese dental students and intern doctors are declining. A conventional education method for intraoral radiography currently conducted does not provide enough time to master intraoral radiographic technique for the dental students, because much time to develop the roentgenogram is necessary. This paper describes the development of a training system for intraoral radiography. The system is composed of a notebook computer, two PHANToM Omni devices, and a dental arch model, where the PHANToM Omni devices are used to measure the position and orientation of a indicator cone and film of the system. We applied the computer graphics technique to draw an intraoral radiograph on the computer display, thus the system enables trainees to practice the intraoral radiography without a X-ray machine, lots of film sheets, and time for the development of roentgenogram. In this paper, we present the system structure, a simulation method for generating an intraoral radiography, and simulation results..
11. Tatsushi Tokuyasu, Yusuke Fujii, Motoji Yamamoto, Kazutoshi Okamura, Kazunori Yoshiura, A training simulator for intraoral radiography, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006, 2006, Intraoral radiography is one of the most important techniques for dentists, which is commonly used to diagnose dental caries and gum disease. An intraoral radiograph shows a perspective projection image of the teeth of patient, so that the roentgenogram is affected by the positional relationship between film, teeth, and indicator cone which directs X-ray radiation toward the film. In order to administer intraoral radiography for a patient, he/she has to have a small X-ray film inserted in their oral cavity. The position and orientation of the film are properly adjusted by the dentist or radiologic technician. And then, the indicator cone is positioned outside the patient's mouth, and its orientation is determined depending on the teeth and film. Recently, it has been reported that the skill of intraoral radiography of dental students and interns are declining in Japan. The background of this issue is that the conventional training method needs to use an actual X-ray machine and lots of film, and much time to develop the roentgenogram. We assumed that these training inefficiencies would be improved by using virtual reality technique. In this paper, we propose a training simulator for intraoral radiography based on virtual reality, where the trainees quickly obtain a graphical image of intraoral radiograph on a computer display after the setting of film and indicator cone is finished. This paper presents a simulation algorithm for generating a graphical image of intraoral radiograph, and discusses about optimum design of an indicator cone positioning device for the simulator. Simulation results show that the proposed simulation algorithm provides realistic observations of intraoral radiograph..
12. Tatsushi Tokuyasu, Erina Maeda, Takuya Okamoto, Hiromu Akita, Kazuhiko Toshimitsu, Kazutoshi Okamura, Kazunori Yoshiura, Fundamental study of a virtual training system for maxillofacial palpation, 5th FTRA International Conference on Information Technology Convergence and Services, ITCS 2013 and the 3rd International Conference on Intelligent Robotics, Automations, Telecommunication Facilities, and Applications, IRoA 2013, 2013, Maxillofacial palpation is a physical examination technique where face or jaw are touched with fingers to determine their shape, consistency and location. Dentists utilizes palpation to diagnose pathological condition of a patient suffered from maxillofacial diseases. This paper proposes a virtual training system for maxillofacial palpation. To provide a virtual palpation system, a basic patient model is constructed based on linear elastic finite element method. Finally the simulation results and the remained issues making the system more practical are discussed..
13. Tatsushi Tokuyasu, Takaaki Nakayama, Kazuhiko Toshimitsu, Kazutoshi Okamura, Kazunori Yoshiura, Development of Virtual Palpation System for Dental Education, 29th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015, 2015.04, There has been an increase in the number of dentist since the 1950s in Japan. This has been recognized as one of medical issues in Japan. The increase of dentists causes a reduction of diagnostic opportunity per dentist and becomes a factor which declines the quality of dental therapy. By the way the education contents implemented in dental college has not been changed, where dental students study the knowledge and technique for intraoral radiograph. In the dental examination room, dentist often touches a patient face to identify the causes of disease such as dental curies and/or tumors. This diagnostic method has been called as maxillofacial palpation. Because some of dental diseases can be found by maxillofacial palpation, this diagnostic method has been recognized as the important skill for dentist. However, no practical training of maxillofacial palpation against a patient has been included in the curriculum of dental education. A training system which enables dental students to practice maxillofacial palpation with a patient was requested from the dentists, and then this study aims to develop a virtual training system for maxillofacial palpation that provides dental students to touch a patient face virtually. The system consists of a personal computer and a hap tic interface. The computer processes a virtual patient model which reacts graphically and dynamically against the hap tic interface operated by a trainee. This study applies free mesh method to the dynamic model of virtual patient model in order to reduce the computation cost. This paper introduces a basic concept of free mesh method and discusses the validity of this method through the experimental results..
14. Kenji Yoshitomi, Tatsushi Tokuyasu, Kazuhiko Toshimitsu, Takaaki Nakayama, Kazutoshi Okamura, Kazunori Yoshiura, Improvement of Mesh Free Deforming Analysis for Maxillofacial Palpation on a Virtual Training System, 10th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2016, 2016.12, Palpation is important medical diagnostic technic to make correct diagnosis of symptomatic state. It requires a lot of palpation experience under leadership of an experienced medical doctor. Hence, a palpation training system with virtual model of an affected part is useful to get better at the skill. However, there is no practical training for maxillofacial palpation in the dental education curriculum in Japan. So, it is necessary for dental students that the virtual training system is developed, which can to practice maxillofacial palpation. Then, a trial palpation training system for maxillofacial disorder is developed by using virtual reality model and haptic interface. The system is consisted of a PC and the haptic device-PHANToM Omni. A virtual affected part model is constructed from multi-CT images through commercial software. In particular, the dynamic responding virtual model and real-Time analysis method through simplified mesh free method are improved. Consequently, we succeed in operation at the real-Time by the palpation training system..
15. Warangkana Weerawanich, 清水 真弓, 竹下洋平, 岡村 和俊, Yoshida S, 吉浦 一紀, Pseudo-ROC analysis to evaluate information contents in the image, The 11th ACOMFR, 2016.11.
16. 竹下洋平, 清水 真弓, Jasa G, Warangkana Weerawanich, 岡村 和俊, 吉浦 一紀, Improving the detection of the mandibular canals on CBCT, The 11th ACOMFR, 2016.11.
17. Shimizu M, Warangkana Weerawanichi, 岡村 和俊, 吉浦 一紀, Analysis on the factors related to the sonographic diagnosis for Sjogren's syndrome (SS), The 11th ACOMFR, 2016.11.
18. Sitti Fadhillah Oemar Mattalitti, 河津 俊幸, 吉浦 一紀, Prediction of Tongue Cancer Patient Prognosis Using Ultrasound, The 10th Asian Congress of Oral and Maxillo-Facial Radiology, 2014.11.
19. 河津 俊幸, 吉浦 一紀, The application of shear wave elastography of head and neck: A preliminary study, The 10th Asian Congress of Oral and Maxillo-Facial Radiology, 2014.11.
20. 岡村 和俊, Yutaka Yoshida, 筑井 徹, 吉浦 一紀, Evaluation of the effect of iterative reconstruction method on image quality improvement in hard tissues, The 10th Asian Congress of Oral and Maxillo-Facial Radiology, 2014.11.
21. 筑井 徹, Erina Kitamoto, Masahiro Ohga, 吉浦 一紀, The pharmacokinetic analysis of the dynamic contrast-enhanced MRI in maxillofacial region, The 10th Asian Congress of Oral and Maxillo-Facial Radiology, 2014.11.
22. 清水 真弓, 岡村 和俊, 阿部 光一郎, 森山 雅文, 大山 順子, Seiji Nakamura, Kazunori Yoshiura, Imaging diagnosis for Sjögren's syndrome by scintigraphy - Comparison with sonography and sialography -, 12th International Symposium on Sjögren's Syndrome, 2013.10.
23. 清水 真弓, 森山 雅文, 岡村 和俊, 河津 俊幸, 筑井 徹, 大山 順子, 阿部 光一郎, S Furukawa, Seiji Nakamura, Kazunori Yoshiura, Imaging diagnosis for IgG4-related dacryoadenitis and sialoadenitis (IgG4-DS), 12th International Symposium on Sjögren's Syndrome, 2013.10.
24. 清水 真弓, 森山 雅文, 岡村 和俊, 河津 俊幸, 筑井 徹, 大山 順子, 阿部 光一郎, 中村 誠司, 吉浦 一紀, Effectiveness of Imaging Modalities for Diagnosing IgG4-related Dacryoadenitis and Sialoadenitis, so Called Mikulicz's Disease, The 19th International Congress of Dent-Maxillo-Facial Radiology, 2013.06.
25. 荒木和之, KENJI TOKUMORI, 岡村 和俊, 松田幸子, 関健次, Kazunori Yoshiura, 岡野友宏, Intraoral radiography training system in the virtual reality: Its development and a questionnaire survey to the students, The 19th International Congress of Dent-Maxillo-Facial Radiology, 2013.06.
26. Yuko Nakamura, TK Goto, KENJI TOKUMORI, Takashi Yoshiura, K Kobayashi, Y Nakamura, Hiroshi Honda, Kazunori Yoshiura, Differences between cerebral activation of analgesia by sucrose and an artificial sweetener in humans, Neuroscience 2012, 2012.10.
27. Yuko Nakamura, TK Goto, KENJI TOKUMORI, Takashi Yoshiura, K Kobayashi, Y Nakamura, Hiroshi Honda, Kazunori Yoshiura, Difference in human brain activity between caloric sucrose and an artificial sweetener, Neuroscience 2012, 2012.09.
28. Toru Chikui, Erina Kitamoto, S Koga, A Simonetti, M Obara, Takashi Yoshiura, Kazunori Yoshiura, The application of phase AIF for pharmacokinetic analyses in the maxillofacial region, 25th Congress and Refresher Course of the European Sciety of Head and Neck Radiology, 2012.09.
29. Toru Chikui, Erina Kitamoto, Shintaro Kawano, M Ohga, M Obara, M Matsuo, Kazunori Yoshiura, Tumor response assessments of oral cancer to pre-operative chemoradiotherapy (CRT) with permeability and diffusion MRI, 25th Congress and Refresher Course of the European Sciety of Head and Neck Radiology, 2012.09.
30. Erina Kitamoto, Toru Chikui, Shintaro Kawano, Tsuyoshi Sugiura, M Obara, Takashi Yoshiura, Kazunori Yoshiura, The application of a pharmacokinetic analysis to maxillofacial tumors, 25th Congress and Refresher Course of the European Sciety of Head and Neck Radiology, 2012.09.
31. Toshiyuki Kawazu, Toru Chikui, Mayumi Shimizu, Kazutoshi Okamura, Kazunori Yoshiura, Diagnosis and management of mass-like lesions of the tongue, 25th Congress and Refresher Course of the European Sciety of Head and Neck Radiology, 2012.09.
32. K Araki, KENJI TOKUMORI, Kazutoshi Okamura, Y Matsuda, K Seki, Kazunori Yoshiura, T Okano, Intraoral radiography training system using virtual reality, 9th Asian Congress of Oral and Maxillo-Facial Radiology, 2012.09.