Extracting tissue deformation using Gabor filter banks

Albert Montillo, Dimitris Metaxas, Leon Axel

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

This paper presents a new approach for accurate extraction of tissue deformation imaged with tagged MR. Our method, based on banks of Gabor filters, adjusts (1) the aspect and (2) orientation of the filter's envelope and adjusts (3) the radial frequency and (4) angle of the filter's sinusoidal grating to extract information about the deformation of tissue. The method accurately extracts tag line spacing, orientation, displacement and effective contrast. Existing, non-adaptive methods often fail to recover useful displacement information in the proximity of tissue boundaries while our method works in the proximity of the boundaries. We also present an interpolation method to recover all tag information at a finer resolution than the filter bank parameters. Results are shown on simulated images of translating and contracting tissue.

Original languageEnglish (US)
Pages (from-to)1-9
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5369
DOIs
Publication statusPublished - Jul 5 2004

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Keywords

  • Filter adaptation
  • Filter interpolation
  • Gabor filter bank
  • Tagged MRI
  • Tissue deformation extraction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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