Automated Segmentation of the Brainstem,Cranial Nerves and Vessels for Trigeminal Neuralgia and Hemifacial Spasm  

作　　者：Yuqing Yang Zhiwen Liu 

机构地区：[1]School of Intergrated Circuits and Electronics,Beijing Institute of Technology,Beijing 100081,China

出　　处：《Journal of Beijing Institute of Technology》2023年第5期631-639,共9页北京理工大学学报（英文版）

摘　　要：Accurate localization of cranial nerves and responsible blood vessels is important for diagnosing trigeminal neuralgia(TN)and hemifacial spasm(HFS).Manual delineation of the nerves and vessels on medical images is time-consuming and labor-intensive.Due to the development of convolutional neural networks(CNNs),the performance of medical image segmentation has been improved.In this work,we investigate the plans for automated segmentation of cranial nerves and responsible vessels for TN and HFS,which has not been comprehensively studied before.Different inputs are given to the CNN to find the best training configuration of segmenting trigeminal nerves,facial nerves,responsible vessels and brainstem,including the image modality and the number of segmentation targets.According to multiple experiments with seven training plans,we suggest training with the combination of three-dimensional fast imaging employing steady-state acquisition(3D-FIESTA)and three-dimensional time-of-flight magnetic resonance angiography(3DTOF-MRA),and separate segmentation of cranial nerves and vessels.

关 键 词：trigeminal nerves facial nerves responsible vessels medical image segmentation 

分 类 号：R745.1[医药卫生—神经病学与精神病学] TP391.41[医药卫生—临床医学]