Estimating myocardial motion by 4D image warping☆ Export

@article{citeulike:4721297, abstract = {A method for spatio-temporally smooth and consistent estimation of cardiac motion from MR cine sequences is proposed. Myocardial motion is estimated within a four-dimensional (4D) registration framework, in which all three-dimensional (3D) images obtained at different cardiac phases are simultaneously registered. This facilitates spatio-temporally consistent estimation of motion as opposed to other registration-based algorithms which estimate the motion by sequentially registering one frame to another. To facilitate image matching, an attribute vector (AV) is constructed for each point in the image, and is intended to serve as a ” morphological signature” of that point. The AV includes intensity, boundary, and geometric moment invariants (GMIs). Hierarchical registration of two image sequences is achieved by using the most distinctive points for initial registration of two sequences and gradually adding less-distinctive points to refine the registration. Experimental results on real data demonstrate good performance of the proposed method for cardiac image registration and motion estimation. The motion estimation is validated via comparisons with motion estimates obtained from MR images with myocardial tagging.}, author = {Sundar, Hari and Litt, Harold and Shen, Dinggang}, citeulike-article-id = {4721297}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.patcog.2009.04.022}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0031320309001678}, day = {09}, doi = {10.1016/j.patcog.2009.04.022}, issn = {00313203}, journal = {Pattern Recognition}, keywords = {4d, cardiac, cine, image, registration}, month = {May}, posted-at = {2009-06-22 02:27:39}, priority = {5}, title = {Estimating myocardial motion by 4D image warping☆}, url = {http://dx.doi.org/10.1016/j.patcog.2009.04.022}, year = {2009} }

TY - JOUR ID - citeulike:4721297 L3 - citeulike-article-id:4721297 N2 - A method for spatio-temporally smooth and consistent estimation of cardiac motion from MR cine sequences is proposed. Myocardial motion is estimated within a four-dimensional (4D) registration framework, in which all three-dimensional (3D) images obtained at different cardiac phases are simultaneously registered. This facilitates spatio-temporally consistent estimation of motion as opposed to other registration-based algorithms which estimate the motion by sequentially registering one frame to another. To facilitate image matching, an attribute vector (AV) is constructed for each point in the image, and is intended to serve as a “morphological signature” of that point. The AV includes intensity, boundary, and geometric moment invariants (GMIs). Hierarchical registration of two image sequences is achieved by using the most distinctive points for initial registration of two sequences and gradually adding less-distinctive points to refine the registration. Experimental results on real data demonstrate good performance of the proposed method for cardiac image registration and motion estimation. The motion estimation is validated via comparisons with motion estimates obtained from MR images with myocardial tagging. JF - Pattern Recognition SN - 00313203 TI - Estimating myocardial motion by 4D image warping☆ KW - 4d KW - cardiac KW - cine KW - image KW - registration AU - Sundar, Hari AU - Litt, Harold AU - Shen, Dinggang PY - 2009/05/09/ UR - http://dx.doi.org/10.1016/j.patcog.2009.04.022 ER -