Original title: Brain Vessels Enhancement in 3D CT Data Using Eigenvalues of Hessian Matrix
Authors: Sucháček, Jan ; Jakubíček, Roman
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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
Host item entry: Proceedings II of the 28st Conference STUDENT EEICT 2022: Selected papers, ISBN 978-80-214-6030-0

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/208606

Permalink: http://www.nusl.cz/ntk/nusl-511875


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers