单位：[1]Faculty of Information Technology, Beijing University of Technology, Beijing, China[2]Department of Radiology, Beijing Friendship Hospital,Capital Medical University, Beijing, China医技科室影像中心放射科首都医科大学附属北京友谊医院
Due to the different posture of the subject and settings of CT scanners, the CT images of the human temporal bone should be geometrically aligned with multi-planar reconstruction to ensure the symmetry of the bilateral anatomical structure. Manual alignment is a time-consuming task for radiologists and an important pre-processing step for further computer-aided CT analysis. We propose a fully automatic alignment algorithm for temporal bone CT images via Lateral Semicircular Canals (LSCs) segmentation.The LSCs are segmented with our proposed multi-feature fusion network as anchors at first. Then, we define a standard 3D coordinate system and propose an alignment procedure.The experimental results show that our LSC segmentation network achieved a higher segmentation accuracy. The acceptable rate is achieved 85% over 910 raw temporal bone CT sequences. The alignment speed is reduced from 10 minutes by manual to 60s.Aiming at the problem of bilateral asymmetry in the raw temporal bone CT images, we propose an automatic geometric alignment method. Our proposed method can help to perform alignment of temporal bone CT images efficiently. This article is protected by copyright. All rights reserved.This article is protected by copyright. All rights reserved.
基金：
the National Key R&D Program of China,
Grant/Award Number: 2020YFA0712200; the
Natural Science Foundation of Beijing,
Grant/Award Number: 7212199; the R&D
Program of Beijing Municipal Education
Commission, Grant/Award Number:
KZ202210005007
第一作者单位：[1]Faculty of Information Technology, Beijing University of Technology, Beijing, China
通讯作者：
通讯机构：[2]Department of Radiology, Beijing Friendship Hospital,Capital Medical University, Beijing, China[*1]Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
推荐引用方式(GB/T 7714)：
Li Xiaoguang,Fu Peng,Yin Hongxia,et al.A geometric alignment for human temporal bone CT images via lateral semicircular canals segmentation[J].Medical Physics.2022,doi:10.1002/mp.15889.
APA：
Li Xiaoguang,Fu Peng,Yin Hongxia,Wang Zhenchang,Zhu Ziyao...&Zhuo Li.(2022).A geometric alignment for human temporal bone CT images via lateral semicircular canals segmentation.Medical Physics,,
MLA：
Li Xiaoguang,et al."A geometric alignment for human temporal bone CT images via lateral semicircular canals segmentation".Medical Physics .(2022)
