Publication detail

Tracotgraphy sensitivity improvements: COMMIT2 linear operator properties

PISKOŘOVÁ, Z.

Original Title

Tracotgraphy sensitivity improvements: COMMIT2 linear operator properties

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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

Authors

PISKOŘOVÁ, Z.

Released

14. 8. 2021

BibTex

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