Angle Images using Gabor Filters in Cardiac Tagged MRI

  • Authors:

  • Joel Barajas;Jaume Garcia-Barnés;Francesc Carreras;Sandra Pujadas;Petia Radeva

  • Affiliations:

  • CICATA-IPN, Querétaro, Mexico and Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain;Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain;Hospital de la Santa Creu i Sant Pau, Barcelona, Spain;Hospital de la Santa Creu i Sant Pau, Barcelona, Spain;Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain

  • Venue:
  • Proceedings of the 2005 conference on Artificial Intelligence Research and Development
  • Year:
  • 2005

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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.