@InProceedings{JoelBarajas2005,
author="Joel Barajas
and Jaume Garcia
and Francesc Carreras
and Sandra Pujades
and Petia Radeva",
title="Angle Images Using Gabor Filters in Cardiac Tagged MRI",
booktitle="Proceeding of the 2005 conference on Artificial Intelligence Research and Development",
year="2005",
publisher="IOS Press",
address="Amsterdam, The Netherlands",
pages="107--114",
optkeywords="Angle Images",
optkeywords="Gabor Filters",
optkeywords="Harp",
optkeywords="Tagged Mri",
abstract="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.",
optnote="IAM;MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=595), last updated on Fri, 11 Nov 2016 12:28:17 +0100",
isbn="1-58603-560-6",
opturl="http://portal.acm.org/citation.cfm?id=1565854",
file=":http://refbase.cvc.uab.es/files/BGC2005.pdf:PDF"
}