ムラガキ　ヨシヒロ   MURAGAKI Yoshihiro   村垣　善浩    所属   医学部 医学科（東京女子医科大学病院）    職種   客員教授
言語種別	英語
種別	部分執筆
表題	Normalized Brain Datasets with Functional Information Predict the Glioma Surgery
書名	Multidisciplinary Computational Anatomy Toward Integration of Artificial Intelligence with MCA-based Medicine
担当範囲	New Frontier of Technology in Clinical Applications Based on MCA Models: Cranial Nervous System
ISBNコード	9789811643248
編者名	HASHIZUME Makoto
版・巻・頁	pp.173-180
総ページ数	413
出版社	Springer Singapore
出版地 （都市, 国名）	Singapore
著者・共著者	TAMURA Manabu, SATO Ikuma, MURAGAKI Yoshihiro
発行年月	2021/12/01
概要	The goal of this study is to transform to the digitized intraoperative imaging and the compiled brain-function database for predicting glioma surgery that is based on the patient’s future perspective depending on the tumor resection rate as well as the postoperative complication rate. Firstly, we successfully acquired log data with the location of medical device integrated into intraoperative MR image and digitized brain function was converted to a normalized brain data format in 20 cases with acceptable accuracy. There were totally 22 speech arrest (SA), 10 speech impairment (SI), 12 motor, and 7 sensory responses (51 responses). Secondly, we simulated the projection of the normalized brain data to the individual pre- and intraoperative MR image. These image integration and transformation methods for brain normalization should facilitate practical intraoperative brain mapping. In the future, these methods may be helpful for preoperatively and/or intraoperatively predicting brain function.