Publication result detail

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

SUCHÁČEK, J.; JAKUBÍČEK, R.

Original Title

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

English Title

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

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

SUCHÁČEK, J.; JAKUBÍČEK, R.

RIV year

2025

Released

26.04.2022

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6030-0

Book

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

Edition

1

Pages from

75

Pages to

78

Pages count

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"
}