Computational cardiac anatomy using MRI. Export

@article{citeulike:3906448, abstract = {Ventricular geometry and fiber orientation may undergo global or local remodeling in cardiac disease. However, there are as yet no mathematical and computational methods for quantifying variation of geometry and fiber orientation or the nature of their remodeling in disease. Toward this goal, a landmark and image intensity-based large deformation diffeomorphic metric mapping (LDDMM) method to transform heart geometry into common coordinates for quantification of shape and form was developed. Two automated landmark placement methods for modeling tissue deformations expected in different cardiac pathologies are presented. The transformations, computed using the combined use of landmarks and image intensities, yields high-registration accuracy of heart anatomies even in the presence of significant variation of cardiac shape and form. Once heart anatomies have been registered, properties of tissue geometry and cardiac fiber orientation in corresponding regions of different hearts may be quantified.}, author = {Beg, M. F. and Helm, P. A. and McVeigh, E. and Miller, M. I. and Winslow, R. L.}, citeulike-article-id = {3906448}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/mrm.20255}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/15508155}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=15508155}, doi = {10.1002/mrm.20255}, issn = {0740-3194}, journal = {Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine}, month = {November}, number = {5}, pages = {1167--1174}, posted-at = {2009-01-18 21:46:29}, priority = {2}, title = {Computational cardiac anatomy using MRI.}, url = {http://dx.doi.org/10.1002/mrm.20255}, volume = {52}, year = {2004} }

TY - JOUR ID - citeulike:3906448 L3 - citeulike-article-id:3906448 N2 - Ventricular geometry and fiber orientation may undergo global or local remodeling in cardiac disease. However, there are as yet no mathematical and computational methods for quantifying variation of geometry and fiber orientation or the nature of their remodeling in disease. Toward this goal, a landmark and image intensity-based large deformation diffeomorphic metric mapping (LDDMM) method to transform heart geometry into common coordinates for quantification of shape and form was developed. Two automated landmark placement methods for modeling tissue deformations expected in different cardiac pathologies are presented. The transformations, computed using the combined use of landmarks and image intensities, yields high-registration accuracy of heart anatomies even in the presence of significant variation of cardiac shape and form. Once heart anatomies have been registered, properties of tissue geometry and cardiac fiber orientation in corresponding regions of different hearts may be quantified. IS - 5 JF - Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine SN - 0740-3194 EP - 1174 TI - Computational cardiac anatomy using MRI. VL - 52 SP - 1167 AU - Beg, MF AU - Helm, PA AU - McVeigh, E AU - Miller, MI AU - Winslow, RL PY - 2004/11// UR - http://dx.doi.org/10.1002/mrm.20255 ER -