Detail publikačního výsledku

TRACTOGRAPHY SENSITIVITY IMPROVEMENTS: COMMIT2 LINEAR OPERATOR PROPERTIES

PISKOŘOVÁ, Z.

Originální název

TRACTOGRAPHY SENSITIVITY IMPROVEMENTS: COMMIT2 LINEAR OPERATOR PROPERTIES

Anglický název

TRACTOGRAPHY SENSITIVITY IMPROVEMENTS: COMMIT2 LINEAR OPERATOR PROPERTIES

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper aims to describe features of the linear operator A in a 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 there is challenging due to dimensionality and poor stability of the system and a alternative method for its solution is still being searched.

Anglický abstrakt

This paper aims to describe features of the linear operator A in a 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 there is challenging due to dimensionality and poor stability of the system and a alternative method for its solution is still being searched.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

PISKOŘOVÁ, Z.

Rok RIV

2022

Vydáno

27.08.2021

Nakladatel

Univrsita obrany

Místo

Brno

ISBN

978-80-7582-380-9

Kniha

MITAV 2021

Strany od

1

Strany do

6

Strany počet

6

URL

http://mitav.unob.cz

BibTex

@inproceedings{BUT172320,
  author="Zuzana {Gavorová}",
  title="TRACTOGRAPHY SENSITIVITY IMPROVEMENTS: COMMIT2 LINEAR
OPERATOR PROPERTIES",
  booktitle="MITAV 2021",
  year="2021",
  pages="1--6",
  publisher="Univrsita obrany",
  address="Brno",
  isbn="978-80-7582-380-9",
  url="http://mitav.unob.cz"
}