Abstract #1340

Automatic facial nerve tractography in patient with vestibular schwannoma

Chenxi Lu¹, Qiqi Tong², Mantao Chen³, Xiujue Zheng³, Jianhui Zhong^1,4, and Hongjian He^1,5

¹Center for Brain Imaging Science and Technology, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, ²Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China, ³Department of Neurosurgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China, ⁴University of Rochester, Rochester, NY, United States, ⁵School of physics, Zhejiang University, Hangzhou, China

Synopsis

Keywords: Nerves, Tractography & Fibre Modelling

Facial nerve tractography has recently been recognized as a valuable tool for predicting risk before vestibular schwannoma surgery to preserve function. Due to complexity of tissue structure, professional experience is usually required to manually adjust tracking parameters and place exclusion ROIs for optimal tractography. A pipeline for automatic facial nerve tractography will significantly lessen surgeons' workload. Here, we proposed a fiber growing method for adjusting the angle threshold adaptively and removed track outliers. Results show that the proposed method achieves good consistency with the manual method. The pipeline would have great potential for assisting clinic surgeries for vestibular schwannoma.

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