000063140 001__ 63140
000063140 005__ 20181007230941.0
000063140 0247_ $$2doi$$a10.1109/TMI.2005.852050
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000063140 02470 $$2ISI$$a000231636400003
000063140 037__ $$aARTICLE
000063140 245__ $$aSpatio-Temporal Nonrigid Registration for Ultrasound Cardiac Motion Estimation
000063140 269__ $$a2005
000063140 260__ $$bIEEE$$c2005
000063140 336__ $$aJournal Articles
000063140 520__ $$9eng$$a We propose a new spatio-temporal elastic registration algorithm for motion reconstruction from a series of images. The specific application is to estimate displacement fields from two-dimensional ultrasound sequences of the heart. The basic idea is to find a spatio-temporal deformation field that effectively compensates for the motion by minimizing a difference with respect to a reference frame. The key feature of our method is the use of a semi-local spatio-temporal parametric model for the deformation using splines, and the reformulation of the registration task as a global optimization problem. The scale of the spline model controls the smoothness of the displacement field. Our algorithm uses a multiresolution optimization strategy to obtain a higher speed and robustness.   We evaluated the accuracy of our algorithm using a synthetic sequence generated with an ultrasound simulation package, together with a realistic cardiac motion model. We compared our new global multiframe approach with a previous method based on pairwise registration of consecutive frames to demonstrate the benefits of introducing temporal consistency. Finally, we applied the algorithm to the regional analysis of the left ventricle. Displacement and strain parameters were evaluated showing significant differences between the normal and pathological segments, thereby illustrating the clinical applicability of our method. 
000063140 6531_ $$aUltrasound Registration
000063140 700__ $$aLedesma-Carbayo, M.J.
000063140 700__ $$aKybic, J.
000063140 700__ $$aDesco, M.
000063140 700__ $$aSantos, A.
000063140 700__ $$aSühling, M.
000063140 700__ $$aHunziker, P.
000063140 700__ $$0240182$$aUnser, M.$$g115227
000063140 773__ $$j24$$k9$$q1113–1126$$tIEEE Transactions on Medical Imaging
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000063140 8564_ $$s2067146$$uhttps://infoscience.epfl.ch/record/63140/files/ledesma0501.pdf$$zn/a
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