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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-6
Gonzalo Vegas-Sanchez-Ferrero , Laboratory of Image Processing. University of Valladolid. Spain
Antonio Tristan-Vega , Laboratory of Image Processing. University of Valladolid. Spain
Lucilio Cordero-Grande , Laboratory of Image Processing. University of Valladolid. Spain
Pablo Casaseca-de-la-Higuera , Laboratory of Image Processing. University of Valladolid. Spain
Santiago Aja-Fernandez , Laboratory of Image Processing. University of Valladolid. Spain
Marcos Martin-Fernandez , Laboratory of Image Processing. University of Valladolid. Spain
Carlos Alberola-Lopez , Laboratory of Image Processing. University of Valladolid. Spain
ABSTRACT
In this paper we propose an alternative method to estimate and visualize the Strain Rate Tensor (ST) in Magnetic Resonance Images (MRI) when Phase Contrast MRI (PCMRI) and Tagged MRI (TMRI) are not available. This alternative is based on image processing techniques. Concretely, an elastic image registration algorithm is used to estimate the movement of the myocardium at each point. Our experiments with real data prove that the registration algorithm provides a useful deformation field to estimate the ST fields. A classification between regional normal and dysfunctional contraction patterns, as compared with professional diagnosis, points out that the parameters extracted from the estimated ST can represent these patterns.
CITATION
Gonzalo Vegas-Sanchez-Ferrero, Antonio Tristan-Vega, Lucilio Cordero-Grande, Pablo Casaseca-de-la-Higuera, Santiago Aja-Fernandez, Marcos Martin-Fernandez, Carlos Alberola-Lopez, "Strain Rate Tensor estimation in cine cardiac MRI based on elastic image registration", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-6, doi:10.1109/CVPRW.2008.4562968
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