Construction of a statistical model for cardiac motion analysis using nonrigid image registration

Information Processing in Medical Imaging : Proceedings of the ... Conference
R ChandrashekaraDaniel Rueckert

Abstract

In this paper we present a new technique for tracking the movement of the myocardium using a statistical model derived from the motion fields in the hearts of several healthy volunteers. To build the statistical model we tracked the motion of the myocardium in 17 volunteers using a nonrigid registration technique based on free-form deformations and mapped the motion fields obtained into a common reference coordinate system. A principal component analysis (PCA) was then performed on the motion fields to extract the major modes of variation in the fields between the successive time frames. The modes of variation obtained were then used to parametrize the free-form deformations and build our statistical model. The results of using our model to track the motion of the heart in normal volunteers are also presented.

Citations

Aug 21, 2013·International Journal of Computer Vision·S DurrlemanN Ayache
May 19, 2011·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·V M PaiH Wen
Jul 24, 2018·Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization·Jonghye WooJerry L Prince
Jan 3, 2018·Journal of Cardiovascular Translational Research·Kathleen GilbertAndrew D McCulloch
Jul 10, 2021·The Journal of the Acoustical Society of America·Christina HagedornShrikanth S Narayanan

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