DYNAMIC TEXTURE BASED HEART LOCALIZATION AND SEGMENTATION IN 4-D CARDIAC IMAGES Export

@proceedings{citeulike:3378282, abstract = {In this paper we present a dynamic texture based motion segmentation approach to address the challenging problem of heart localization and segmentation in 4D spatio-temporal cardiac images. Our approach introduces time-dependent dynamic constraints into model-based segmentation, and it has the advantage of producing segmentation results that are both spatially and temporally consistent. Compared to previous methods that segment cardiac contours, our method offers the following advantages: 1) the heart can be quickly localized in 4D cardiac images with distinct dynamic signatures; 2) heart dynamics are learned online and adaptively by analyzing the dynamic texture from the video sequence of a cardiac cycle and then incorporated in the segmentation process; and 3) the proposed dynamic features can be easily integrated with model-based segmentation methods. We illustrate our framework through combining the new dynamic constraints with active contour models, and demonstrate its performance on sequences of 4D MRI and tagged MRI images of the heart. We also validate the accuracy of the segmentation results by comparing with ground truth marked by experts}, author = {Huang, Junzhou and Huang, Xiaolei and Metaxas, D. and Axel, L.}, booktitle = {Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on}, citeulike-article-id = {3378282}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ISBI.2007.356986}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4193420}, doi = {10.1109/ISBI.2007.356986}, journal = {Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on}, keywords = {4d, cardiac, localization, mri, segmentation}, pages = {852--855}, posted-at = {2008-10-06 02:59:35}, priority = {2}, title = {DYNAMIC TEXTURE BASED HEART LOCALIZATION AND SEGMENTATION IN 4-D CARDIAC IMAGES}, url = {http://dx.doi.org/10.1109/ISBI.2007.356986}, year = {2007} }

TY - CONF ID - citeulike:3378282 L3 - citeulike-article-id:3378282 N2 - In this paper we present a dynamic texture based motion segmentation approach to address the challenging problem of heart localization and segmentation in 4D spatio-temporal cardiac images. Our approach introduces time-dependent dynamic constraints into model-based segmentation, and it has the advantage of producing segmentation results that are both spatially and temporally consistent. Compared to previous methods that segment cardiac contours, our method offers the following advantages: 1) the heart can be quickly localized in 4D cardiac images with distinct dynamic signatures; 2) heart dynamics are learned online and adaptively by analyzing the dynamic texture from the video sequence of a cardiac cycle and then incorporated in the segmentation process; and 3) the proposed dynamic features can be easily integrated with model-based segmentation methods. We illustrate our framework through combining the new dynamic constraints with active contour models, and demonstrate its performance on sequences of 4D MRI and tagged MRI images of the heart. We also validate the accuracy of the segmentation results by comparing with ground truth marked by experts JF - Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on EP - 855 TI - DYNAMIC TEXTURE BASED HEART LOCALIZATION AND SEGMENTATION IN 4-D CARDIAC IMAGES T2 - Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on SP - 852 KW - 4d KW - cardiac KW - localization KW - mri KW - segmentation AU - Huang, Junzhou AU - Huang, Xiaolei AU - Metaxas, D AU - Axel, L PY - 2007/// UR - http://dx.doi.org/10.1109/ISBI.2007.356986 ER -