Development and establishment of an integrated computer-aided diagnosis system based on neuroimaging data

Research Project

Project/Area Number	15K15451
Research Category	Grant-in-Aid for Challenging Exploratory Research
Allocation Type	Multi-year Fund
Research Field	Radiation science
Research Institution	The University of Tokyo
Principal Investigator	TAKAO Hidemasa 東京大学, 医学部附属病院, 准教授 (10444093)
Project Period (FY)	2015-04-01 – 2019-03-31
Project Status	Completed (Fiscal Year 2018)
Budget Amount *help	¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000) Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000) Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000) Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Keywords	脳・神経 / MRI
Outline of Final Research Achievements	To establish an integrated computer-aided diagnosis system using neuroimaging data, we first evaluated the reproducibility of morphometric, diffusion-weighted, and resting-state fMRI images of the brain, using open databases. We also evaluated the method to estimate each subject' normal map based on other sequence or modality data. We continue to seek an integrated computer-aided diagnosis system based on these methods.
Academic Significance and Societal Importance of the Research Achievements	脳画像における統合的画像診断システムの構築を模索するにあたり、脳画像自体の再現性は非常に重要であり、これに対する基礎的な知見を得た。また、他のシーケンスやモダリティーの情報から個別の正常マップを推定することにより、個別の症例における異常領域の検出が可能となれば、それに基づいた、統合的画像診断システムの確立へとつながり、今後、脳画像による神経疾患および精神疾患の診断能向上につながることが期待される。