Surgical planning for brain intervention (SPBI) using multimodal brain MR images
Yi Zhang,
Zhao He,
Shijie Hong,
Fulang Qi,
Qingfang Sun,
Guang-Zhong Yang,
Yuan Feng
Affiliations
Yi Zhang
School of Biomedical Engineering, Institute of Medical Robotic, National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200240, PR China
Zhao He
School of Biomedical Engineering, Institute of Medical Robotic, National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200240, PR China
Shijie Hong
School of Biomedical Engineering, Institute of Medical Robotic, National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200240, PR China
Fulang Qi
Center for Biomedical Imaging, University of Science and Technology of China, Hefei, Anhui 230052, PR China
Qingfang Sun
Department of Neurosurgery, Department of Radiology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, PR China; Corresponding authors.
Guang-Zhong Yang
School of Biomedical Engineering, Institute of Medical Robotic, National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200240, PR China; Corresponding authors.
Yuan Feng
School of Biomedical Engineering, Institute of Medical Robotic, National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200240, PR China; Corresponding authors.
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.
