Detail publikačního výsledku

Brain Vessels Enhancement in 3D CT Data Using Eigenvalues of Hessian Matrix

SUCHÁČEK, J.; JAKUBÍČEK, R.

Originální název

Brain Vessels Enhancement in 3D CT Data Using Eigenvalues of Hessian Matrix

Anglický název

Brain Vessels Enhancement in 3D CT Data Using Eigenvalues of Hessian Matrix

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Cerebrovascular pathologies represent very serious life-threatening diseases and therefore great importance is attached to improving the diagnostic process of these diseases. In this work, an approach for brain vessels enhancement in 3D CT angiographic data has been proposed. A 3D binary mask of the brain was constructed and used for brain tissue extraction, in which the cerebral vessels were then enhanced using advanced filters based on Hessian matrix computation and analysis of Hessian eigenvalues. A dataset of 5 anonymized patient CT scans was used to design this approach.

Anglický abstrakt

Cerebrovascular pathologies represent very serious life-threatening diseases and therefore great importance is attached to improving the diagnostic process of these diseases. In this work, an approach for brain vessels enhancement in 3D CT angiographic data has been proposed. A 3D binary mask of the brain was constructed and used for brain tissue extraction, in which the cerebral vessels were then enhanced using advanced filters based on Hessian matrix computation and analysis of Hessian eigenvalues. A dataset of 5 anonymized patient CT scans was used to design this approach.

Klíčová slova

Brain vessel, Hessian-based filters, vessel enhancement, CT angiography.

Klíčová slova v angličtině

Brain vessel, Hessian-based filters, vessel enhancement, CT angiography.

Autoři

SUCHÁČEK, J.; JAKUBÍČEK, R.

Rok RIV

2025

Vydáno

26.04.2022

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6030-0

Kniha

Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers

Edice

1

Strany od

75

Strany do

78

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3_DOI.pdf

BibTex

@inproceedings{BUT188065,
  author="Jan {Sucháček} and Roman {Jakubíček}",
  title="Brain Vessels Enhancement in 3D CT Data Using Eigenvalues of Hessian Matrix",
  booktitle="Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers",
  year="2022",
  series="1",
  pages="75--78",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2022.75",
  isbn="978-80-214-6030-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3_DOI.pdf"
}