Abstract
The goal of this study is to transform to the digitized intra-operative imaging and the compiled brain-function database for the predicting glioma surgery that is based on patientʼs future perspective depending on the tumor resection rate as well as the post-operative complication rate. In awake craniotomy, we estimated language-related location in response to the surgeonʼs electrical stimulation and the examinerʼs task from the precise process analysis of the medical device “IEMAS: Intra-operative examination monitoring in awake surgery”. Secondarily, successful acquisition of log data with the location of medical device integrated into intra-operative MR image was performed and digitized brain function was converted to a normalized brain data format. Digitized log data of the electrostimulation probe during awake craniotomy was acquired successfully in 20 cases, that were totally 22 speech arrest (SA), 10 speech impairment (SI), 12 motor, and 7 sensory responses (51 responses). Finally, intraoperative SA response converted fully to normalized brain with acceptable accuracy. We simulated the projection of the normalized brain data to the individual pre- and intra-operative MR image. These image integration and transformation methods using brain normalization should facilitate practical intra-operative brain mapping. These methods may be helpful for pre-operatively and/or intra-operatively predicting brain function.
