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  • 画像統計学分野(東北メディカル・メガバンク 機構)


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Division of Image Statistics(Tohoku Medical Megabank Organization)画像統計学分野(東北メディカル・メガバンク 機構)

  • 脳画像解析
  • 画像診断
  • 認知心理検査



  • Mugikura,ShunjiProfessor. 麦倉 俊司 教授

Other Faculty / Staff

  • Mori,Naoko
    Assistant Prof. 森 菜緒子 助教




The Division of Image Statistics (Laboratory of Brain Imaging Research) is in charge of additional MRI testing and cognitive psychological testing in the Tohoku Medical Megabank Project. Our aim is to clarify how constitution (genetic factors) and lifestyle affect the brain, cognitive function, and mental state in order to maintain a healthy brain and cognitive ability throughout life. We have started the "Brain and Mental Health Study" for those who participated in the Three Generations Cohort Study or the Community Resident Cohort Study and requested an MRI examination. Brain health is analyzed by morphometric analysis of the brain based on the latest brain science research. As a result of these surveys, a large brain image database will be completed. Using these databases, we also aim to develop early diagnosis and onset prevention for many brain-related diseases such as depression, PTSD, and dementia.
*Because this is not a dedicated diagnostic imaging method, depending on the type of disease, the diagnostic accuracy may be inferior to that of a regular MRI scan in a hospital.



Mori Naoko, Abe Hiroyuki, Mugikura Shunji, et al. Discriminating low-grade ductal carcinoma in situ (DCIS) from non-low-grade DCIS or DCIS upgraded to invasive carcinoma: effective texture features on ultrafast dynamic contrast-enhanced magnetic resonance imaging. Breast Cancer. 2021; 28 (5): 1141-1153. doi:10.1007/s12282-021-01257-6

Kageyama Sakiko, Mori Naoko, Mugikura Shunji, et al. Gaussian mixture model-based cluster analysis of apparent diffusion coefficient values: a novel approach to evaluate uterine endometrioid carcinoma grade. European Radiology. 2021; 31 (1): 55-64. doi:10.1007/s00330-020-07047-6

Ogishima Soichi, Nagaie Satoshi, Mizuno Satoshi, et al. dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project. Human Genome Variation. 2021; 8 (1): 44. doi:10.1038/s41439-021-00175-5

Kato Erina, Mori Naoko, Mugikura Shunji, et al. Value of ultrafast and standard dynamic contrast-enhanced magnetic resonance imaging in the evaluation of the presence and extension of residual disease after neoadjuvant chemotherapy in breast cancer. Japanese Journal of Radiology. 2021; 39 (8): 791-801. doi:10.1007/s11604-021-01110-y

Matsumoto Yuki, Misu Tatsuro, Mugikura Shunji, et al. Distinctive lesions of brain MRI between MOG-antibody-associated and AQP4-antibody-associated diseases. Journal of Neurology, Neurosurgery & Psychiatry. 2021; 92 (6): 682-684. doi:10.1136/jnnp-2020-324818