Literature DB >> 31824125

Extracting tissue deformation using Gabor filter banks.

Albert Montillo1, Dimitris Metaxas2, Leon Axel3.   

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.

Keywords:  Gabor filter bank; filter adaptation; filter interpolation; tagged MRI; tissue deformation extraction

Year:  2004        PMID: 31824125      PMCID: PMC6902438          DOI: 10.1117/12.536860

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  3 in total

1.  A MAP framework for tag line detection in SPAMM data using Markov random fields on the B-spline solid.

Authors:  Yasheng Chen; Amir A Amini
Journal:  IEEE Trans Med Imaging       Date:  2002-09       Impact factor: 10.048

2.  Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images.

Authors:  Albert Montillo; Dimitris Metaxas; Leon Axel
Journal:  Med Image Comput Comput Assist Interv       Date:  2002-10-10

3.  Automated Model-Based Segmentation of the Left and Right Ventricles in Tagged Cardiac MRI.

Authors:  Albert Montillo; Dimitris Metaxas; Leon Axel
Journal:  Med Image Comput Comput Assist Interv       Date:  2003
  3 in total
  1 in total

1.  Native-resolution myocardial principal Eulerian strain mapping using convolutional neural networks and Tagged Magnetic Resonance Imaging.

Authors:  Inas A Yassine; Ahmed M Ghanem; Nader S Metwalli; Ahmed Hamimi; Ronald Ouwerkerk; Jatin R Matta; Michael A Solomon; Jason M Elinoff; Ahmed M Gharib; Khaled Z Abd-Elmoniem
Journal:  Comput Biol Med       Date:  2021-11-18       Impact factor: 4.589

  1 in total

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