Publication detail

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

BAŠTINEC, J. PISKOŘOVÁ, Z. LABOUNEK, R.

Original Title

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

English Title

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

Type

conference paper

Language

en

Original 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 an anappropriate for system of such dimensions and conditioning.

English 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 an anappropriate for system of such dimensions and conditioning.

Keywords

tractography, MRI, diffusion, optimization, pseudo-inversion, inverse problem

Released

06.02.2018

Publisher

STU Bratislava

Location

Bratislava

ISBN

978-80-227-4765-3

Book

Aplimat 2018

Edition number

1

Pages from

832

Pages to

839

Pages count

8

URL

Documents

BibTex


@inproceedings{BUT145375,
  author="Jaromír {Baštinec} and Zuzana {Piskořová} and René {Labounek}",
  title="IMPROVING THE SENSITIVITY OF TRACTOGRAPHY USING MICROSTRUCTURE MODELING AND PSEUDO-INVERSION",
  annote="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 an anappropriate for system of such dimensions and conditioning.",
  address="STU Bratislava",
  booktitle="Aplimat 2018",
  chapter="145375",
  howpublished="electronic, physical medium",
  institution="STU Bratislava",
  year="2018",
  month="february",
  pages="832--839",
  publisher="STU Bratislava",
  type="conference paper"
}