Detail publikačního výsledku

Tracotgraphy sensitivity improvements: COMMIT2 linear operator properties

PISKOŘOVÁ, Z.

Originální název

Tracotgraphy sensitivity improvements: COMMIT2 linear operator properties

Anglický název

Tracotgraphy sensitivity improvements: COMMIT2 linear operator properties

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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

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

14.08.2021

BibTex

@inproceedings{BUT172223,
  author="Zuzana {Gavorová}",
  title="Tracotgraphy sensitivity improvements: COMMIT2 linear operator properties",
  year="2021"
}