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Proceedings Paper

Variational level-set segmentation and tracking of left ventricle using field prior
Author(s): Mariam Afshin; Ismail Ben Ayed; Ali Islam; Ian Ross; Terry Peters; Shuo Li
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Paper Abstract

This study investigates a novel method of tracking Left Ventricle (LV) curve in Magnetic Resonance (MR) sequences. The method focuses on energy minimization by level-set curve boundary evolution. The level-set framework allows introducing knowledge of the field prior on the solution. The segmentation in each particular time relies not only on the current image but also the segmented image from previous phase. Field prior is defined based on the experimental fact that the mean logarithm of intensity inside endo and epi-cardium is approximately constant during a cardiac cycle. The solution is obtained by evolving two curves following the Euler-Lagrange minimization of a functional containing a field constraint. The functional measures the consistency of the field prior over a cardiac sequence. Our preliminary results show that the obtained segmentations are very well correlated with those manually obtained by experts. Furthermore, we observed that the proposed field prior speeds up curve evolution significantly and reduces the computation load.

Paper Details

Date Published: 11 March 2011
PDF: 7 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79622D (11 March 2011); doi: 10.1117/12.877557
Show Author Affiliations
Mariam Afshin, The Univ. of Western Ontario (Canada)
Robarts Research Institute (Canada)
Ismail Ben Ayed, GE Healthcare (Canada)
Ali Islam, St. Joseph's Health Care London (Canada)
Ian Ross, London Health Sciences Ctr. (Canada)
Terry Peters, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)
Shuo Li, GE Healthcare (Canada)
The Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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