Stochastic active contour for cardiac MR image segmentation Export

@inproceedings{citeulike:2820743, abstract = {We develop an energy based automatic image segmentation algorithm using a novel active contour scheme. The algorithm overcomes some unique challenges arising in cardiac MR images. Two features are particularly relevant. The first is that it uses region-based information captured by a stochastic model. As a result, our method is robust to assumed initial conditions and can be applied to a large range of images, particularly when the contrast is low. The second feature is the incorporation of prior knowledge on the shape of the organ to be segmented. For cardiac image segmentation, it is sufficient to assume that the shape resembles an ellipse.}, author = {Pluempitiwiriyawej, C. and Moura, J. M. F. and Wu, Y. J. L. and Kanno, S. and Ho, C.}, booktitle = {Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on}, citeulike-article-id = {2820743}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICIP.2003.1246877}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1246877}, doi = {10.1109/ICIP.2003.1246877}, journal = {Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on}, keywords = {ac, contour, mri, segmentation}, pages = {II--1097-100 vol.3}, posted-at = {2008-05-21 17:32:29}, priority = {2}, title = {Stochastic active contour for cardiac MR image segmentation}, url = {http://dx.doi.org/10.1109/ICIP.2003.1246877}, volume = {2}, year = {2003} }

TY - CONF ID - citeulike:2820743 L3 - citeulike-article-id:2820743 N2 - We develop an energy based automatic image segmentation algorithm using a novel active contour scheme. The algorithm overcomes some unique challenges arising in cardiac MR images. Two features are particularly relevant. The first is that it uses region-based information captured by a stochastic model. As a result, our method is robust to assumed initial conditions and can be applied to a large range of images, particularly when the contrast is low. The second feature is the incorporation of prior knowledge on the shape of the organ to be segmented. For cardiac image segmentation, it is sufficient to assume that the shape resembles an ellipse. JF - Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on EP - 1097-100 vol.3 TI - Stochastic active contour for cardiac MR image segmentation VL - 2 T2 - Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on SP - II KW - ac KW - contour KW - mri KW - segmentation AU - Pluempitiwiriyawej, C AU - Moura, JMF AU - Wu, YJL AU - Kanno, S AU - Ho, C PY - 2003/// UR - http://dx.doi.org/10.1109/ICIP.2003.1246877 ER -