MURAGAKI Yoshihiro    Department   School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine    Position   Visiting Professor
Language	Japanese
Title	Proposal of Integration Method of Intra‒Operative Brain Functional Positions into the Standard Brain by Non‒Rigid Registration in Awake Surgery
Conference	The 28th Annual Congress of Japan Society of Computer Aided Surgery
Conference Type	Nationwide Conferences
Presentation Type	Speech
Lecture Type	Panelist at Symposium/Workshop (Appointed)
Date	2019/11/24
Society abstract	日本コンピュータ外科学会誌 21(4),322 2019
Summary	Abstract：For glioma surgery, “future‒predicting glioma surgery” was suggested. Future‒predicting glioma surgery can facilitate decision‒making for surgeons by predicting the post‒operative neurological complications with respect to the scheduled resection area. Due to its importance, past surgical data of numerous patients need to store and do statistical analyzed. This will enable the realization of evidence‒based resection surgery in glioma. For pre‒processing of data in future predicting glioma surgery, we need to create datasets for statistical analysis by integrating past surgical data in one coordinate system. In a previous study, digitized brain functional positions and methods for creation of datasets for statistical analysis were suggested. Using results of this study, we integrated brain functional positions into the standard brain1）. However, the datasets for statistical analysis were not enough. In this study, we describe the methods of creating datasets of brain functional positions for statistical analysis in future‒predicting glioma surgery. These are made possible by integrating brain functional positions of many patients into the standard brain. Furthermore, intra‒operative MR images and brain function positions of 24 patients were integrated to the standard brain by non‒rigid registration. Subsequently, we evaluated the integration accuracy of these methods. In intra‒operative MRI to the standard brain registration, the overall registration error was 2.9±1.1［mm］. We believe that our proposal method can analyze brain functional positions with individual difference statistically in the future. Key words：Standard brain, Non‒rigid registration, Brain functional positions