Computer-aided scheme for functional index computation of left ventricle in cardiac CTA: segmentation and partitioning of left ventricle

Hui Huang; Xiahai Zhuang; Yi Shao; Tian Lan; Liu Liu; Qiang Li

doi:10.1117/12.2007777

28 February 2013 Computer-aided scheme for functional index computation of left ventricle in cardiac CTA: segmentation and partitioning of left ventricle

Hui Huang, Xiahai Zhuang, Yi Shao, Tian Lan, Liu Liu, Qiang Li

Author Affiliations +

Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 867017 (2013) https://doi.org/10.1117/12.2007777
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Cardiac functional indices, such as ejection fraction and regional wall motion/ thickening, are commonly used for assessing the contractility and functionality of the heart in clinical practice. An important step for computer-aided determination of functional indices is the automated segmentation of the heart from computed tomography angiography (CTA) and the partitioning of the left ventricle into 16 segments. We develop a fully automatic scheme which not only segments the whole heart from cardiac CTA images, but also partitions the left ventricle, including the blood pool and myocardium, into 16 segments of bull’s eye plot. The segmentation is based on image registration and atlas propagation techniques, whereas the bull’s eye plot is first obtained through atlas propagation and then further improved to correct inconsistency across different subjects, uneven size for each segment and “zig-zag” edges between them. In this preliminary study, a cohort of ten clinical CTA data was employed to compute and evaluate the regional functional indices as well as the global indices.

Citation Download Citation

Hui Huang, Xiahai Zhuang, Yi Shao, Tian Lan, Liu Liu, and Qiang Li "Computer-aided scheme for functional index computation of left ventricle in cardiac CTA: segmentation and partitioning of left ventricle", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 867017 (28 February 2013); https://doi.org/10.1117/12.2007777

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KEYWORDS

Image segmentation

Heart

Eye

Image registration

Computed tomography

Functional analysis

Blood

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