A computer-aided method for the automatic localization of the left ventricular long axis on coronary computed tomography angiography

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Authors: Shuang Li, Tian Ma, Yuting Guo, Yuntian Xiao, Anqi Yang, Yinghao Xu, Shuai Li, Yi He
Cited by: 1

Abstract

Background: The accurate identification of the left ventricular long axis is important for standardized cardiac orientation and quantitative analysis in coronary computed tomography angiography (CCTA). However, current workflows often require manual adjustment, leading to variability and increased workload. This study aimed to develop a computer-aided method for the automatic localization of the left ventricular long axis. Methods: Eighty-eight patients undergoing CCTA were retrospectively analyzed. We employed a specific range of tangential slopes within the outer contour in the mid-to-lower region and applied further correction to build spatial localization of the long axis, with physician annotations on 3D Slicer serving as the reference. The consistency was assessed via the Spearman correlation coefficient and Bland-Altman analysis. Results: ), with no significant difference (P>0.05). The inter- and intra-correlation coefficients were good [all intraclass correlation coefficients (ICCs) >0.9; P

Fields of Study & Subjects

Cardiac Imaging and Diagnostics Medical Image Segmentation Techniques Cardiovascular Function and Risk Factors

Publication details

Journal / source
Quantitative Imaging in Medicine and Surgery
Publisher
AME Publishing Company
Volume
16
Issue
5
Pages
353–353
Publication date
21 April 2026
Language
EN