Detail publikačního výsledku

Tractograhy sensitivity improvements: Iterative method to reach pseudoinverse of the COMMIT2 matrix

PISKOŘOVÁ, Z.

Originální název

Tractograhy sensitivity improvements: Iterative method to reach pseudoinverse of the COMMIT2 matrix

Anglický název

Tractograhy sensitivity improvements: Iterative method to reach pseudoinverse of the COMMIT2 matrix

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

This paper aims to describe features of the linear operator A in COMMIT2 algorithm. COMMIT and COMMIT2 algorithms seem to be a promising way to improve sensitivity of a brain white matter mapping procedures called tractography. The core problem solved here is challenging due to dimensionality and poor stability of the system. Exploration of the linear operator properties may be beneficial for further experiments since it might provide a better control over solution errors.

Anglický abstrakt

This paper aims to describe features of the linear operator A in COMMIT2 algorithm. COMMIT and COMMIT2 algorithms seem to be a promising way to improve sensitivity of a brain white matter mapping procedures called tractography. The core problem solved here is challenging due to dimensionality and poor stability of the system. Exploration of the linear operator properties may be beneficial for further experiments since it might provide a better control over solution errors.

Klíčová slova

brain, white matter, tractography, optimization, large matrix, sparse matrix, condition number

Klíčová slova v angličtině

brain, white matter, tractography, optimization, large matrix, sparse matrix, condition number

Autoři

PISKOŘOVÁ, Z.

Vydáno

10.06.2022

Nakladatel

UNOB

Místo

Brno

ISBN

978-80-7582-456-1

Kniha

Matematika, informační technologie a aplikované vědy

Strany počet

198

BibTex

@inproceedings{BUT178997,
  author="Zuzana {Gavorová}",
  title="Tractograhy sensitivity improvements: Iterative method to reach pseudoinverse of the COMMIT2 matrix",
  booktitle="Matematika, informační technologie a aplikované vědy",
  year="2022",
  number="1",
  pages="198",
  publisher="UNOB",
  address="Brno",
  isbn="978-80-7582-456-1"
}