Share Email Print

Proceedings Paper

A registration and atlas propagation based framework for automatic whole heart segmentation of CT volumes
Author(s): Xiahai Zhuang; Jingjing Song; Songhua Zhan; Tian Lan; Hui Huang; Mingxing Hu; Sebastien Ourselin; Qiang Li
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Cardiac computed tomography (CT) is widely used in clinics for diagnosing heart diseases and assessing functionality of the heart. It is therefore desirable to achieve fully automatic whole heart segmentation for the clinical applications, since manual work can be labor-intensive and subject to bias. However, automating this segmentation is challenging due to the large shape variability of the heart and the poor contrast between sub- structures such as those in the right ventricle and right atrium region in CT angiography images. In this work, we develop a fully automatic whole heart segmentation framework for CT volumes. This framework is based on image registration and atlas propagation techniques. Also, we investigate and compare the segmentation performance using single and multiple atlas propagation and segmentation strategies. In multiple atlas segmentation, a ranking-and-selection scheme is used to identify the best atlas(es) from an atlas pool for an unseen image. The segmentation methods are evaluated using fifteen clinical data. The results show that the proposed multiple atlas segmentation method can achieve a mean Dice score of 0:889±0:023 and a mean surface distance error of 1:17±1:39 mm for the automatic whole heart segmentation of seven substructures.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86693W (13 March 2013); doi: 10.1117/12.2007454
Show Author Affiliations
Xiahai Zhuang, Shanghai Advanced Research Institute (China)
Jingjing Song, Shu Guang Hospital, Shanghai Univ. of Traditional Chinese Medicine (China)
Songhua Zhan, Shu Guang Hospital, Shanghai Univ. of Traditional Chinese Medicine (China)
Tian Lan, Shanghai Advanced Research Institute (China)
Hui Huang, Shanghai Advanced Research Institute (China)
Mingxing Hu, Univ. College London (United Kingdom)
Sebastien Ourselin, Univ. College London (United Kingdom)
Qiang Li, Shanghai Advanced Research Institute (China)

Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)

© SPIE. Terms of Use
Back to Top