Atlas-Based Segmentation of Temporal Bone Anatomy

作     者：Powell, Kimerly A. Liang, Tong Hittle, Brad Stredney, Don Kerwin, Thomas Wiet, Gregory J. 

作者机构：Ohio State Univ Dept Biomed Informat Columbus OH 43210 USA Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA Ohio Supercomp Ctr Columbus OH USA Ohio State Univ Dept Otolaryngol Columbus OH 43210 USA Nationwide Childrens Hosp Columbus OH USA 

出 版 物：《INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY》 (国际计算机辅助放射学与外科学杂志)

年 卷 期：2017年第12卷第11期

页      面：1937-1944页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1006[医学-中西医结合] 1002[医学-临床医学] 1009[医学-特种医学] 10[医学] 100602[医学-中西医结合临床] 

基　　金：NIDCD/NIH [1R01-DC011321] 

主　　题：Atlas-based segmentation Image registration Surgical simulation Temporal bone anatomy 

摘      要：To develop a time-efficient automated segmentation approach that could identify critical structures in the temporal bone for visual enhancement and use in surgical simulation software. An atlas-based segmentation approach was developed to segment the cochlea, ossicles, semicircular canals (SCCs), and facial nerve in normal temporal bone CT images. This approach was tested in images of 26 cadaver bones (13 left, 13 right). The results of the automated segmentation were compared to manual segmentation visually and using DICE metric, average Hausdorff distance, and volume similarity. The DICE metrics were greater than 0.8 for the cochlea, malleus, incus, and the SCCs combined. It was slightly lower for the facial nerve. The average Hausdorff distance was less than one voxel for all structures, and the volume similarity was 0.86 or greater for all structures except the stapes. The atlas-based approach with rigid body registration of the otic capsule was successful in segmenting critical structures of temporal bone anatomy for use in surgical simulation software.