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Proceedings Paper

A hybrid spatiotemporal and Hough-based motion estimation approach applied to magnetic resonance cardiac images
Author(s): N. Carranza; G. Cristóbal; F. Sroubek; M. J. Ledesma-Carbayo; A. Santos
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Paper Abstract

Myocardial motion analysis and quantification is of utmost importance for analyzing contractile heart abnormalities and it can be a symptom of a coronary artery disease. A fundamental problem in processing sequences of images is the computation of the optical flow, which is an approximation to the real image motion. This paper presents a new algorithm for optical flow estimation based on a spatiotemporal-frequency (STF) approach, more specifically on the computation of the Wigner-Ville distribution (WVD) and the Hough Transform (HT) of the motion sequences. The later is a well-known line and shape detection method very robust against incomplete data and noise. The rationale of using the HT in this context is because it provides a value of the displacement field from the STF representation. In addition, a probabilistic approach based on Gaussian mixtures has been implemented in order to improve the accuracy of the motion detection. Experimental results with synthetic sequences are compared against an implementation of the variational technique for local and global motion estimation, where it is shown that the results obtained here are accurate and robust to noise degradations. Real cardiac magnetic resonance images have been tested and evaluated with the current method.

Paper Details

Date Published: 24 August 2006
PDF: 12 pages
Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 631219 (24 August 2006); doi: 10.1117/12.682149
Show Author Affiliations
N. Carranza, CSIC (Spain)
G. Cristóbal, CSIC (Spain)
F. Sroubek, Institute of Information Theory and Automation (Czech Republic)
M. J. Ledesma-Carbayo, Univ. Politécnica de Madrid (Spain)
A. Santos, Univ. Politécnica de Madrid (Spain)

Published in SPIE Proceedings Vol. 6312:
Applications of Digital Image Processing XXIX
Andrew G. Tescher, Editor(s)

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