By Topic

A fast and automatic detection of epi- and endo-cardium using MR images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Nitisantawakup, R. ; Dept. of Electron. & Telecommun. Eng., King Mongkut''s Univ. of Technol. Thonburi, Bangkok, Thailand ; Jiraraksopakun, Y. ; Kumwilaisak, W.

This paper proposes a fast and automatic algorithm to detect epi-and endo-cardium contours on short-axis cardiac magnetic resonance (CMR) images based on combined methods motivated from a double thresholding method. Briefly, it rapidly detects endo-cardium contour and left ventricular (LV) chamber region. Using the endo-cardium contour as initial seeds, the algorithm applies region growing of the LV in polar coordinates to achieve a reasonable epi-cardium contour. Preliminary results with the online cardiac MR database show that the proposed method can provide a mean absolute error of 54.325 ± 5.24 mm2 for myocardium area computed from endo- and epi-cardium contour detection, accounting for 92% accuracy compared to the ground truth. The total time of detection is approximately 0.86 and 3.26 seconds per image frame for endo- and epi-cardium contours, respectively. These promising results reflect a potential use of the proposed algorithm for clinical applications in the future.

Published in:

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2011 8th International Conference on

Date of Conference:

17-19 May 2011