Automatic path searching for minimally invasive neurosurgical planning

Tetsuya Fujii; Hiroki Asakura; Hiroshi Emoto; Nobuo Sugou; Toshiaki Mito; Iekado Shibata

doi:10.1117/12.466957

17 May 2002 Automatic path searching for minimally invasive neurosurgical planning

Tetsuya Fujii, Hiroki Asakura, Hiroshi Emoto, Nobuo Sugou, Toshiaki Mito, Iekado Shibata

Proceedings Volume 4681, Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display; (2002) https://doi.org/10.1117/12.466957
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

We are developing a neurosurgical planning system, and this paper presents a method of automatic path searching from skin surface of the head to tumor inside the brain. The path obtained by our system is an optimal one in minimally invasive neurosurgery and it is calculated automatically based on a 3D atlas. The 3D atlas is a voxel based 3D matrix, and consists of two parts, structural part and knowledge part. The structural part includes the geometrical information with respect to each tissue. The knowledge part is generated based on experiences of doctors, and numeric value is provided as importance value for each tissue. The path searching consists of two steps, path finding and path smoothing. Path finding is to select an optimal path from surface of the head to the affected part based on minimization of importance value integrating along with the path. We applied the algorithm into a head MRI data set. The path obtained by path finding is reformed smoothly to approach the natural path of surgeon.

Citation Download Citation

Tetsuya Fujii, Hiroki Asakura, Hiroshi Emoto, Nobuo Sugou, Toshiaki Mito, and Iekado Shibata "Automatic path searching for minimally invasive neurosurgical planning", Proc. SPIE 4681, Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display, (17 May 2002); https://doi.org/10.1117/12.466957

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