M.D. Professor Mitsuhiro Nakamura
Medical physics is an academic field that contributes to human health by utilizing the knowledge and results of physic and engineering in medicine. We are mainly engaged in research and education related to radiation medical physics. In research, we are conducting research that contributes to the development of radiation medicine. In terms of education, we train medical physicists who have acquired the knowledge of physical engineering and radiology necessary to fulfill their duties in the clinical field, and who have the ability to solve problems on their own.
Research and Education
From the viewpoint of radiation medical physics, we train researchers and specialists who have the following abilities in the field of radiation medicine; (1) the ability to develop innovative radiation medical devices, (2) the clinical ability to independently perform a series of tasks in the field of radiation therapy, and (3) the educational ability to train the next generation of medical physicists.
In terms of research, we will develop new technologies necessary for the development of radiation medicine, and disseminate the research results to the world through academic activities. In terms of education, we train medical physicists who are capable of installing radiotherapy equipment, developing treatment plans, and performing quality control. In addition, the students will also develop the ability to play a role in team medicine through discussions based on medical physics knowledge at clinical conferences with other professions. Through these activities, we train medical physicists who will can take a leadership in both research and clinical practice.
Determination of actual dose distribution
Development of non-invasive tumor tracking system
Publications
- Development of AI-driven prediction models to realize real-time tumor tracking during radiotherapy. Zhou D, Nakamura M, Mukumoto N, Tanabe H, Iizuka Y, Yoshimura M, Kokubo M, Matsuo Y, Mizowaki T. Radiat. Oncol., 17, 42, 2022
- Development of a Deep Learning-based Patient-specific Target Contour Prediction Model for Markerless Tumor Positioning. Zhou D, Nakamura M, Mukumoto N, Yoshimura M, Mizowaki T. Med. Phys., 49, 1382~1390, 2022
- Geometric and dosimetric impact of 3D generative adversarial network-based metal artifact reduction algorithm on VMAT and IMPT for the head and neck region. Nakamura M, Nakao M, Imanishi K, Hirashima H, Tsuruta Y. Radiat. Oncol., 16, 96, 2021
- Multi-institutional dose-segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy. Adachi T, Nakamura M, Shintani T, Mitsuyoshi T, Kakino R, Ogata T, Ono T, Tanabe H, Kokubo M, Sakamoto T, Matsuo Y, Mizowaki T. Med. Phys., 48, 1781~1791, 2021
- Statistical shape model-based planning organ-at-risk volume: application to pancreatic cancer patients. Nakamura M, Nakao M, Mukumoto N, Ashida R, Hirashima H, Yoshimura M, Mizowaki T. Phys. Med. Biol., 66, 014001, 2021
Laboratory
M.D. Professor：Mitsuhiro Nakamura