Development of an Intraoperative Information Integration System and Implementation for Neurosurgery
Eisuke Aoki*, Masafumi Noguchi*, Jae-Sung Hong**,
Etsuko Kobayashi***, Ryoichi Nakamura****,
Takashi Maruyama****, Yoshihiro Muragaki****,
Hiroshi Iseki****, and Ichiro Sakuma***
*Graduate School of Frontier Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
**Department of Nanobiomedicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
***Department of Precision Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
****Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan
Complete resection of glioma is required to obtain a satisfactory outcome in neurosurgical treatment. It is difficult for neurosurgeons to identify the boundary between glioma and normal tissue using the naked eye alone, so surgical assistance systems such as surgical navigation systems for the detection of brain tumor have been used in clinical operations. Intraoperative information obtained from intraoperative biomedical measurement systems must be integrated to detect brain tumors more accurately. In this research, we developed an intraoperative information integration platform using middleware that has global positioning and global time management capabilities. To evaluate the platform, we developed an integrated platform consisting of devices and systems for neurosurgery. Through experiments, we confirmed the basic performance and effectiveness of our platform in a simulated clinical environment.
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