IMPROVING THE SENSITIVITY OF TRACTOGRAPHY USING MICROSTRUCTURE MODELING AND PSEUDO-INVERSION

Zuzana Piskořov, Jaromír Ba tinec, Ren Labounek

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

Abstract

Tractography is a method to map white matter bundles within brain tissue based on diffusion MRI techniques. It seems to be a promising way of detecting white matter structure in vivo, however, method seems to be prone to false positives if standard methods of tractography are used. The paper promises to explore the possibilities of optimization techniques which would enable to include more informative models to the tractography procedure by filtering out false positives from a set of candidate tracts. To detect anatomically plausible tracts, inverse problem from matrix equation y = Ax is solved with help of pseudo-inversion technique. However, pseudo-inversion seems to be inappropriate for system of such dimensions and conditioning.

Original languageEnglish (US)
Title of host publication17th Conference on Applied Mathematics, APLIMAT 2018 - Proceedings
EditorsPeter Letavaj, Daniela Richtarikova, Dagmar Szarkova, Jana Gabkova
PublisherSlovak University of Technology in Bratislava
Pages832-839
Number of pages8
ISBN (Electronic)9788022747653
StatePublished - 2018
Externally publishedYes
Event17th Conference on Applied Mathematics, APLIMAT 2018 - Bratislava, Slovakia
Duration: Feb 6 2018Feb 8 2018

Publication series

Name17th Conference on Applied Mathematics, APLIMAT 2018 - Proceedings
Volume2018-February

Conference

Conference17th Conference on Applied Mathematics, APLIMAT 2018
Country/TerritorySlovakia
CityBratislava
Period2/6/182/8/18

Bibliographical note

Funding Information:
The work was supported by project FEKT-S-17-4225 of Brno University of Technology.

Publisher Copyright:
© 2018 Slovak University of Technology in Bratislava. All Rights Reserved.

Keywords

  • Diffusion
  • Inverse problem
  • MRI
  • Optimization
  • Pseudo-inversion
  • Tractography

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