Publication result detail

TRACTOGRAPHY SENSITIVITY IMPROVEMENTS: COMMIT2 LINEAR OPERATOR PROPERTIES

PISKOŘOVÁ, Z.

Original Title

TRACTOGRAPHY SENSITIVITY IMPROVEMENTS: COMMIT2 LINEAR OPERATOR PROPERTIES

English Title

TRACTOGRAPHY SENSITIVITY IMPROVEMENTS: COMMIT2 LINEAR OPERATOR PROPERTIES

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

PISKOŘOVÁ, Z.

RIV year

2022

Released

27.08.2021

Publisher

Univrsita obrany

Location

Brno

ISBN

978-80-7582-380-9

Book

MITAV 2021

Pages from

1

Pages to

6

Pages count

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"
}