A Statistical Level Set Framework for Segmentation of Left Ventricle
作者： Gang Yu , Changguo Wang , Peng Li , Yalin Miao , Zhengzhong Bian
DOI: 10.1007/11821045_42
关键词:
摘要: A novel statistical framework for segmentation of the echocardiographic images is presented. The begins with presegmentation at a low resolution image and passes result to high fast optimal segmentation. We applied Rayleigh distribution analyze image, introduced posterior probability-based level set model. model pre-segmentation. pre-segmentation used initialize front scheme. At resolution, an efficient active contour make curve smoother drives it closer real boundary. Segmentation results show that can extract boundary accurately automatically.
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Zheen Zhao, Stephen R. Aylward, Eam Khwang Teoh, A novel 3d partitioned active shape model for segmentation of brain MR images medical image computing and computer assisted intervention. ,vol. 8, pp. 221- 228 ,(2005) , 10.1007/11566465_28
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 Lecture Notes in Computer Science. ,vol. 3750, ,(2005) , 10.1007/11566489
Ning Lin, Weichuan Yu, James S. Duncan, Combinative multi-scale level set framework for echocardiographic image segmentation. Medical Image Analysis. ,vol. 7, pp. 529- 537 ,(2003) , 10.1016/S1361-8415(03)00035-5
S.T. Acton, A.C. Bovik, M.M. Crawford, Anisotropic diffusion pyramids for image segmentation international conference on image processing. ,vol. 3, pp. 478- 482 ,(1994) , 10.1109/ICIP.1994.413760
N. Paragios, A level set approach for shape-driven segmentation and tracking of the left ventricle IEEE Transactions on Medical Imaging. ,vol. 22, pp. 773- 776 ,(2003) , 10.1109/TMI.2003.814785
P. Martin, P. Refregier, F. Goudail, F. Guerault, Influence of the noise model on level set active contour segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 26, pp. 799- 803 ,(2004) , 10.1109/TPAMI.2004.11
T.F. Chan, L.A. Vese, Active contours without edges IEEE Transactions on Image Processing. ,vol. 10, pp. 266- 277 ,(2001) , 10.1109/83.902291
Guofang Xiao, M. Brady, J.A. Noble, Yongyue Zhang, Segmentation of ultrasound B-mode images with intensity inhomogeneity correction IEEE Transactions on Medical Imaging. ,vol. 21, pp. 48- 57 ,(2002) , 10.1109/42.981233
Anthony Yezzi, Andy Tsai, Alan Willsky, A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations Journal of Visual Communication and Image Representation. ,vol. 13, pp. 195- 216 ,(2002) , 10.1006/JVCI.2001.0500
N. Paragios, O. Mellina-Gottardo, V. Ramesh, Gradient vector flow fast geometric active contours IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 26, pp. 402- 407 ,(2004) , 10.1109/TPAMI.2004.1262337