A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
Bandpass Optical Flow for Tagged MR Imaging
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Classification of optical flow by constraints
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
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Monitoring cardiac motion in the stage of small animal study is very important in cardiac research. This paper presents a variational approach to estimating the heart motion of small animals imaged by magnetic resonance (MR) tagging. Small animals have much faster heart beats than human, so their cardiac sequences are temporally undersampled, leading to the aperture problem when reconstructing the cardiac motions. To overcome this difficulty, we adopt the prior knowledge of motions on the myocardial boundaries that were determined in the preprocessing. In addition, we utilize the high gradients of intensities on the tag lines to derive the motions through the cardiac cycle. We formulate the problem in the framework of energy minimization. Variational calculus gives us the Euler-Lagrange equations to seek the minimum. The results produced by our approach are better than the existing optical flow based method [1] and the harmonic phase method [2]. The evaluation suggests that our approach will be more suitable for the small animal studies.