DocumentCode
1553311
Title
A spatiotemporal model of cyclic kinematics and its application to analyzing nonrigid motion with MR velocity images
Author
Zhu, Yudong ; Pelc, Norbert J.
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume
18
Issue
7
fYear
1999
fDate
7/1/1999 12:00:00 AM
Firstpage
557
Lastpage
569
Abstract
The authors present a method (DMESH) for nonrigid cyclic motion analysis using a series of velocity images covering the cycle acquired, for example, from phase-contrast magnetic resonance imaging. The method is based on fitting a dynamic finite-element mesh model to velocity samples of an extended region, at all time frames. The model offers a flexible tradeoff between accuracy and reproducibility with controllable built-in spatiotemporal smoothing, which is determined by the fineness of the initially defined mesh and the richness of included Fourier harmonics. The method can further provide a prediction of the analysis reproducibility, along with the estimated motion and deformation quantities. Experiments have been conducted to validate the method and to verify the reproducibility prediction. Use of the method for motion analysis using displacement information (e.g., from magnetic resonance tagging) has also been explored.
Keywords
biomechanics; biomedical MRI; cardiology; finite element analysis; image motion analysis; image sequences; kinematics; medical image processing; physiological models; DMESH; Fourier harmonics; MR velocity images; controllable built-in spatiotemporal smoothing; cyclic kinematics; displacement information; dynamic finite-element mesh model; magnetic resonance imaging; medical diagnostic imaging; nonrigid cyclic motion analysis; nonrigid motion analysis; spatiotemporal model; velocity images series; Finite element methods; Image analysis; Image motion analysis; Kinematics; Magnetic analysis; Magnetic resonance imaging; Motion analysis; Reproducibility of results; Smoothing methods; Spatiotemporal phenomena; Aortic Valve Stenosis; Biomechanics; Computer Simulation; Heart Ventricles; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging, Cine; Muscle Contraction; Muscle, Skeletal; Myocardial Contraction; Phantoms, Imaging; Reproducibility of Results;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.790456
Filename
790456
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