A new similarity measure for non-rigid breathing motion compensation of myocardial perfusion MRI Export

@proceedings{citeulike:6071783, abstract = {Breathing movements during the image acquisition of first-pass gadolinium enhanced, myocardial perfusion Magnetic Resonance Imaging (MRI) hinder a direct automatic analysis of the blood flow of the myocardium. In addition, a qualitative readout by visual tracking is more difficult as well. Non-rigid registration can be used to compensate for these movements in the image series. Because of the local contrast and intensity change over time, the registration criterion needs to be chosen carefully. We propose a measure based on Normalized Gradient Fields (NGF) in order to obtain registration. Since this measure requires strong gradients in the images, we also test combining the measure with the Sum of Squared Differences (SSD) to maintain registration forces over the whole image area. To ensure smoothness, we employ a Laplacian regularizer and use the B-spline based approach to describe the transformation of the image space. Our experiments show that by using NGF good registration results can be obtained for image exhibiting a high intensity contrast. For images with a low intensity contrast, combining NGF and SSD improves the registration results significantly over using NGF only. Both measures are differentiable making possible the application of fast, gradient based optimizers.}, author = {Wollny, Gert and Ledesma-Carbayo, Maria J. and Kellman, Peter and Santos, Andres}, citeulike-article-id = {6071783}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/IEMBS.2008.4649933}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4649933}, day = {14}, doi = {10.1109/IEMBS.2008.4649933}, journal = {Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE}, keywords = {image-registration, petmri}, month = {October}, pages = {3389--3392}, posted-at = {2009-11-04 23:46:18}, priority = {0}, title = {A new similarity measure for non-rigid breathing motion compensation of myocardial perfusion MRI}, url = {http://dx.doi.org/10.1109/IEMBS.2008.4649933}, year = {2008} }

TY - CONF ID - citeulike:6071783 L3 - citeulike-article-id:6071783 N2 - Breathing movements during the image acquisition of first-pass gadolinium enhanced, myocardial perfusion Magnetic Resonance Imaging (MRI) hinder a direct automatic analysis of the blood flow of the myocardium. In addition, a qualitative readout by visual tracking is more difficult as well. Non-rigid registration can be used to compensate for these movements in the image series. Because of the local contrast and intensity change over time, the registration criterion needs to be chosen carefully. We propose a measure based on Normalized Gradient Fields (NGF) in order to obtain registration. Since this measure requires strong gradients in the images, we also test combining the measure with the Sum of Squared Differences (SSD) to maintain registration forces over the whole image area. To ensure smoothness, we employ a Laplacian regularizer and use the B-spline based approach to describe the transformation of the image space. Our experiments show that by using NGF good registration results can be obtained for image exhibiting a high intensity contrast. For images with a low intensity contrast, combining NGF and SSD improves the registration results significantly over using NGF only. Both measures are differentiable making possible the application of fast, gradient based optimizers. JF - Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE EP - 3392 TI - A new similarity measure for non-rigid breathing motion compensation of myocardial perfusion MRI SP - 3389 KW - image-registration KW - petmri AU - Wollny, Gert AU - Ledesma-Carbayo, Maria AU - Kellman, Peter AU - Santos, Andres PY - 2008/10/14/ UR - http://dx.doi.org/10.1109/IEMBS.2008.4649933 ER -