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Computerized Medical Imaging and Graphics
Article . 2010 . Peer-reviewed
License: Elsevier TDM
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DBLP
Article . 2020
Data sources: DBLP
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Motion estimation of tagged cardiac magnetic resonance images using variational techniques

Authors: Noemí Carranza-Herrezuelo; A. Bajo; Filip Sroubek; C. Santamarta; Gabriel Cristóbal; Andrés Santos; María J. Ledesma-Carbayo;

Motion estimation of tagged cardiac magnetic resonance images using variational techniques

Abstract

This work presents a new method for motion estimation of tagged cardiac magnetic resonance sequences based on variational techniques. The variational method has been improved by adding a new term in the optical flow equation that incorporates tracking points with high stability of phase. Results were obtained through simulated and real data, and were validated by manual tracking and with respect to a reference state-of-the-art method: harmonic phase imaging (HARP). The error, measured in pixels per frame, obtained with the proposed variational method is one order of magnitude smaller than the one achieved by the reference method, and it requires a lower computational cost.

Country
Spain
Keywords

Medical imaging processing, Optical flow, Magnetic Resonance Imaging, Cine, Heart, Motion estimation, Myocardial Contraction, Image Processing, Computer-Assisted, Humans, Tagged cardiac magnetic resonance images, Algorithms, Variational techniques

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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