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Liangjia Zhu, Yi Gao, Anthony Yezzi, Rob MacLeod, Joshua Cates, and Allen Tannenbaum. 2012. “Automatic segmentation of the left atrium from MRI images using salient feature and contour evolution”. Conf Proc IEEE Eng Med Biol Soc, 2012, Pp. 3211-4.
We propose an automatic approach for segmenting the left atrium from MRI images. In particular, the thoracic aorta is detected and used as a salient feature to find a seed region that lies inside the left atrium. A hybrid energy that combines robust statistics and localized region intensity information is employed to evolve active contours from the seed region to capture the whole left atrium. The experimental results demonstrate the accuracy and robustness of our approach.Last updated on 02/24/2023