Fully automated segmentation of left ventricle using dual dynamic programming in cardiac cine MR images

Luan Jiang; Shan Ling; Qiang Li

doi:10.1117/12.2216722

24 March 2016 Fully automated segmentation of left ventricle using dual dynamic programming in cardiac cine MR images

Luan Jiang, Shan Ling, Qiang Li

Proceedings Volume 9785, Medical Imaging 2016: Computer-Aided Diagnosis; 97853T (2016) https://doi.org/10.1117/12.2216722
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Cardiovascular diseases are becoming a leading cause of death all over the world. The cardiac function could be evaluated by global and regional parameters of left ventricle (LV) of the heart. The purpose of this study is to develop and evaluate a fully automated scheme for segmentation of LV in short axis cardiac cine MR images. Our fully automated method consists of three major steps, i.e., LV localization, LV segmentation at end-diastolic phase, and LV segmentation propagation to the other phases. First, the maximum intensity projection image along the time phases of the midventricular slice, located at the center of the image, was calculated to locate the region of interest of LV. Based on the mean intensity of the roughly segmented blood pool in the midventricular slice at each phase, end-diastolic (ED) and end-systolic (ES) phases were determined. Second, the endocardial and epicardial boundaries of LV of each slice at ED phase were synchronously delineated by use of a dual dynamic programming technique. The external costs of the endocardial and epicardial boundaries were defined with the gradient values obtained from the original and enhanced images, respectively. Finally, with the advantages of the continuity of the boundaries of LV across adjacent phases, we propagated the LV segmentation from the ED phase to the other phases by use of dual dynamic programming technique. The preliminary results on 9 clinical cardiac cine MR cases show that the proposed method can obtain accurate segmentation of LV based on subjective evaluation.

Citation Download Citation

Luan Jiang, Shan Ling, and Qiang Li "Fully automated segmentation of left ventricle using dual dynamic programming in cardiac cine MR images", Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 97853T (24 March 2016); https://doi.org/10.1117/12.2216722

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available