Spatio-temporal directional filtering for improved inversion of MR elastography images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

MR elastography can visualize and measure propagating shear waves in tissue-like materials subjected to harmonic mechanical excitation. This allows the calculation of local values of material parameters such as shear modulus and attenuation. Various inversion algorithms to perform such calculations have been proposed, but they are sensitive to areas of low displacement amplitude (and hence low SNR) that result from interference patterns due to reflection and refraction. A spatio-temporal directional filter applied as a preprocessing step can separate interfering waves so they can be processed separately. Weighted combinations of inversions from such directionally separated data sets can significantly improve reconstructions of shear modulus and attenuation.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings
EditorsTakeyoshi Dohi, Ron Kikinis
PublisherSpringer Verlag
Pages293-299
Number of pages7
ISBN (Print)3540442251
DOIs
StatePublished - Jan 1 2002
Event5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan
Duration: Sep 25 2002Sep 28 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2489
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
CountryJapan
CityTokyo
Period9/25/029/28/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Manduca, A., Lake, D. S., & Ehman, R. L. (2002). Spatio-temporal directional filtering for improved inversion of MR elastography images. In T. Dohi, & R. Kikinis (Eds.), Medical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings (pp. 293-299). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2489). Springer Verlag. https://doi.org/10.1007/3-540-45787-9_37