カミヤ　コウヘイ   Kamiya Kohei   神谷　昂平    所属   東邦大学  医学部 医学科（大森病院）    職種   講師
論文種別	総説
言語種別	英語
査読の有無	査読あり
招待の有無	招待あり
表題	NODDI in clinical research.
掲載誌名	正式名：Journal of neuroscience methods
巻・号・頁	346,pp.108908-108908
著者・共著者	Kouhei Kamiya,Masaaki Hori,Shigeki Aoki
担当区分	筆頭著者
発行年月	2020/08
概要	Diffusion MRI (dMRI) has proven to be a useful imaging approach for both clinical diagnosis and research investigating the microstructures of nervous tissues, and it has helped us to better understand the neurophysiological mechanisms of many diseases. Though diffusion tensor imaging (DTI) has long been the default tool to analyze dMRI data in clinical research, acquisition with stronger diffusion weightings beyond the DTI regimen is now possible with modern clinical scanners, potentially enabling even more detailed characterization of tissue microstructures. To take advantage of such data, neurite orientation dispersion and density imaging (NODDI) has been proposed as a way to relate the dMRI signal to tissue features via biophysically inspired modeling. The number of reports demonstrating the potential clinical utility of NODDI is rapidly increasing. At the same time, the pitfalls and limitations of NODDI, and general challenges in microstructure modeling, are becoming increasingly recognized by clinicians. dMRI microstructure modeling is a rapidly evolving field with great promise, where people from different scientific backgrounds, such as physics, medicine, biology, neuroscien
DOI	10.1016/j.jneumeth.2020.108908
PMID	32814118