CT理论与应用研究2026，Vol.35Issue(5)：896-905,10.DOI:10.15953/j.ctta.2026.163
基于U-HRCT的面神经管三维分段标注方法的建立及长度测量研究
Study on Three-dimensional Labeling,Segmentation,and Length Measurement of the Facial Nerve Canal Based on Ultra-high-resolution Computed Tomography
摘要
Abstract
We developed a protocol for three-dimensional(3D)annotation and segmentation of the facial nerve canal and measured the length parameters of each segment in healthy individuals to provide preliminary quantitative reference data.Ultra-high-resolution computed tomography(U-HRCT)images of the temporal bone were acquired from 47 healthy individuals.A 3D manual annotation protocol for the entire course of the facial nerve canal was established,and 3D reconstruction was performed.A four-segment classification scheme for the facial nerve canal was proposed by identifying the following anatomical landmarks:the labyrinthine,geniculate ganglion,tympanic,and mastoid segments;the length of each segment was measured as 2.89(2.31,3.64)mm,(2.52±0.86)mm,(11.75±2.16)mm,and(16.06±2.07)mm,respectively.The total length of the facial nerve canal was(33.31±1.97)mm.Statistically significant differences were observed among the lengths of the four segments,with the mastoid segment being the longest,followed by the tympanic.The labyrinthine and geniculate ganglion segments were the shortest,with no statistically significant differences between them.By establishing a facial nerve canal annotation protocol and proposing a four-segment classification that includes the geniculate ganglion as an independent segment,this study provides preliminary quantitative reference data for normal adult facial nerve canal lengths.These findings provide a reference for imaging studies on facial nerve-related diseases and establish a foundation for the future development of automated measurement algorithms.关键词
超高分辨力CT/面神经管/分段/面神经管长度Key words
ultra-high-resolution CT/facial nerve canal/segmentation/length of facial nerve canal分类
医药卫生引用本文复制引用
张景茜,任玉雪,郭琦涵,郭思慧,周辰,赵鹏飞,尹红霞..基于U-HRCT的面神经管三维分段标注方法的建立及长度测量研究[J].CT理论与应用研究,2026,35(5):896-905,10.基金项目
北京市科技计划项目(耳鼻喉双源锥形束计算机体层摄影设备示范应用(Z241100009024020)) （耳鼻喉双源锥形束计算机体层摄影设备示范应用(Z241100009024020）
北京市自然科学基金面上项目(基于U-HRCT的耳科手术面神经损伤风险智能预警关键技术研究(7252281)) （基于U-HRCT的耳科手术面神经损伤风险智能预警关键技术研究(7252281）
国家自然科学基金面上项目(基于医学知识介导的中耳病变超高分辨力CT智能判读关键技术研究(62371316)). （基于医学知识介导的中耳病变超高分辨力CT智能判读关键技术研究(62371316）
