%0 Conference Proceedings %T Angle Images Using Gabor Filters in Cardiac Tagged MRI %A Joel Barajas %A Jaume Garcia %A Francesc Carreras %A Sandra Pujades %A Petia Radeva %B Proceeding of the 2005 conference on Artificial Intelligence Research and Development %D 2005 %I IOS Press %C Amsterdam, The Netherlands %@ 1-58603-560-6 %F Joel Barajas2005 %O IAM;MILAB %O exported from refbase (http://refbase.cvc.uab.es/show.php?record=595), last updated on Fri, 11 Nov 2016 12:28:17 +0100 %X Tagged Magnetic Resonance Imaging (MRI) is a non-invasive technique used to examine cardiac deformation in vivo. An Angle Image is a representation of a Tagged MRI which recovers the relative position of the tissue respect to the distorted tags. Thus cardiac deformation can be estimated. This paper describes a new approach to generate Angle Images using a bank of Gabor filters in short axis cardiac Tagged MRI. Our method improves the Angle Images obtained by global techniques, like HARP, with a local frequency analysis. We propose to use the phase response of a combination of a Gabor filters bank, and use it to find a more precise deformation of the left ventricle. We demonstrate the accuracy of our method over HARP by several experimental results. %K Angle Images %K Gabor Filters %K Harp %K Tagged Mri %U http://portal.acm.org/citation.cfm?id=1565854 %U http://refbase.cvc.uab.es/files/BGC2005.pdf %P 107-114