Surgical Planning for Brain Intervention (Spbi) Using Multimodal Brain Mr Images

Abstract

Interventional MRI (i-MRI) has been used for improving the accuracy and safety of brain intervention. The surgical navigation system that provides guidance before and during the intervention is crucial for the operation, especially for robot-assisted neurosurgery. Here we present a Surgical Planning for Brain Intervention (SPBI) software system. SPBI provides a series of functionalities to improve the safety and precision of brain intervention, including brain tissue segmentation, vessel segmentation, fiber tracking, and intervention path planning. Multimodal brain MR images from healthy volunteers were used for demonstration of the functionalities. Codes and sample data are open-sourced and publicly available.

Note:
Funding declaration: Funding supports from the National Key R&D Program of China (2022YFB4702700, G.-Z. Y. grant 2022YFB4702704, Y.F.,), the National Natural Science Foundation of China (grant 32322042, Y.F., 32271359, Y.F.), the Natural Science Foundation of Shanghai (grant 22ZR1429600, Y.F.), Science and Technology Commission of Shanghai Municipality (grant 20DZ2220400, G.-Z. Y.), and Shanghai Municipal Science and Technology Major Project (grant 2021SHZDZX, G.-Z. Y.) are acknowledged.

Conflict of Interests: We declare there are no competing financial interests.

Keywords: Surgical Planning, Visualization, Image processing, Graphical user interface