Detail publikace

Features of the linear operator in a process of computation of false positive detection in white matter tractography

PISKOŘOVÁ, Z.

Originální název

Features of the linear operator in a process of computation of false positive detection in white matter tractography

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

To date, tractography using magnetic resonance data is the only way how to map white matter structure in living human brain. However, current tractography algorithms carry a burden of high false positive detection rate. COMMIT algorithm reduces the implausible positive connections by incorporation microstructural information into the analysis. In this paper, features of the COMMIT formulation are explored and hypothesis for further exploration is proposed.

Klíčová slova

magnetic resonance, white matter, brain, tracts, tractography, COMMIT

Autoři

PISKOŘOVÁ, Z.

Vydáno

16. 6. 2020

ISBN

978-80-7582-307-6

Kniha

Matematika, Informační technologie, aplikované vědy (MITAV 2020)

Strany od

1

Strany do

6

Strany počet

6

BibTex

@inproceedings{BUT163994,
  author="Zuzana {Gavorová}",
  title="Features of the linear operator in a process of computation of false positive detection in white matter tractography",
  booktitle="Matematika, Informační technologie, aplikované vědy (MITAV 2020)",
  year="2020",
  pages="1--6",
  isbn="978-80-7582-307-6"
}