This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Strain Rate Tensor estimation in cine cardiac MRI based on elastic image registration
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
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
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, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
Usage of this product signifies your acceptance of the Terms of Use.