Variational level-set segmentation and tracking of left ventricle using field prior

Mariam Afshin; Ismail Ben Ayed; Ali Islam; Ian Ross; Terry Peters; Shuo Li

doi:10.1117/12.877557

11 March 2011 Variational level-set segmentation and tracking of left ventricle using field prior

Mariam Afshin, Ismail Ben Ayed, Ali Islam, Ian Ross, Terry Peters, Shuo Li

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79622D (2011) https://doi.org/10.1117/12.877557
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

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.

Citation Download Citation

Mariam Afshin, Ismail Ben Ayed, Ali Islam, Ian Ross, Terry Peters, and Shuo Li "Variational level-set segmentation and tracking of left ventricle using field prior", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79622D (11 March 2011); https://doi.org/10.1117/12.877557

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