M.D., Ph.D. Professor Yuji Nakamoto
The Department of Diagnostic Imaging and Nuclear Medicine is dedicated to advancing the fields of diagnostic imaging and nuclear medicine through comprehensive education and high-quality medical services. Using state-of-the-art imaging modalities such as CT, MRI, ultrasound, and positron emission tomography (PET), we diagnose and treat a wide range of conditions. In addition, we specialize in interventional radiology, offering minimally invasive therapies alongside diagnostic procedures.
Research and Education
The research undertaken by our department encompasses the following principal areas:
- The development and exploration of innovative diagnostic imaging devices and advanced image processing techniques.
- Clinical studies aimed to establish novel diagnostic imaging methods and elucidate pathological conditions.
- Fundamental research utilizing biological and pathological methodologies informed by diagnostic imaging outcomes.
- Technological advancements and research into minimally invasive treatments leveraging imaging techniques.
While addressing clinical challenges is our primary aim, we also conduct experimental research. Our research spans multiple disciplines and imaging technologies, fostering collaboration with basic sciences, engineering, medical informatics, and pharmacological sciences departments.
For specialized training, we have established a structured program designed to cultivate board-certified radiologists. This program emphasizes training across two institutions, offering a comprehensive and diverse learning experience. Upon completion of the training period, trainees have the flexibility to pursue their aspirations, whether through advanced research in graduate school or continued clinical practice.
In this way, our department has built a robust system that plays a vital role in cutting-edge research across various imaging modalities and the effective delivery of postgraduate education, ensuring excellence in clinical and academic endeavors.
Recent Publications
- Kidera E, Koyasu S, Hirata K, Hamaji M, Nakamoto R, Nakamoto Y. Convolutional neural network-based program to predict lymph node metastasis of non-small cell lung cancer using 18F-FDG PET. Ann Nucl Med. 2024;38:71-80.
- Matsumoto YK, Himoto Y, Nishio M, Kikkawa N, Otani S, Ito K, Yamanoi K, Kato T, Fujimoto K, Kurata Y, Moribata Y, Yoshida H, Minamiguchi S, Mandai M, Kido A, Nakamoto Y. Nodal infiltration in endometrial cancer: a prediction model using best subset regression. Eur Radiol. 2024;34:3375-3384.
- Kurata Y, Nishio M, Moribata Y, Otani S, Himoto Y, Takahashi S, Kusakabe J, Okura R, Shimizu M, Hidaka K, Nishio N, Furuta A, Kido A, Masui K, Onishi H, Segawa T, Kobayashi T, Nakamoto Y. Development of deep learning model for diagnosing muscle-invasive bladder cancer on MRI with vision transformer. Heliyon. 2024;10:e36144.
- Fushimi Y, Nakajima S, Sakata A, Okuchi S, Otani S, Nakamoto Y. Value of Quantitative Susceptibility Mapping in Clinical Neuroradiology. J Magn Reson Imaging. 2024;59:1914-1929.
- Iima M, Mizuno R, Kataoka M, Tsuji K, Yamazaki T, Minami A, Honda M, Imanishi K, Takada M, Nakamoto Y. Deep learning applied to diffusion-weighted imaging for differentiating malignant from benign breast tumors without lesion segmentation. Radiol Artif Intell. 2025;7:e240206.
Laboratory
Professor: Yuji Nakamoto
Associate Professor: Yasutaka Fushimi
Senior Lecturer: Masako Kataoka, Koya Nakatani
Assistant Professor: Tsuyoshi Ono, Hironori Shimizu, Satoshi Nakajima, Sho Koyasu, Yuki Himoto, Akihiko Sakata, Yasuhisa Kurata, Yasuyuki Onishi
Program-Specific Assistant Professor: Takayuki Yamamoto
TEL：+81-75-751-3760
FAX：+81-75-771-9709
E-mail：nmdioffice@kuhp.kyoto-u.ac.jp
URL：https://diag-rad.kuhp.kyoto-u.ac.jp/