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Pregled bibliografske jedinice broj: 922033

Skeletonization method for vessel delineation of arteriovenous malformation


Babin, Danilo; Pižurica, Aleksandra; Velicki, Lazar; Matić, Viktor; Galić, Irena; Leventić, Hrvoje; Zlokolica, Vladimir; Philips, Wilfried
Skeletonization method for vessel delineation of arteriovenous malformation // Computers in biology and medicine, 93 (2018), 93-105 doi:10.1016/j.compbiomed.2017.12.011 (međunarodna recenzija, članak, znanstveni)


Naslov
Skeletonization method for vessel delineation of arteriovenous malformation

Autori
Babin, Danilo ; Pižurica, Aleksandra ; Velicki, Lazar ; Matić, Viktor ; Galić, Irena ; Leventić, Hrvoje ; Zlokolica, Vladimir ; Philips, Wilfried

Izvornik
Computers in biology and medicine (0010-4825) 93 (2018); 93-105

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Image skeletonization Image segmentation Arteriovenous malformation delineation 3D rotational angiography Medical image analysis

Sažetak
Cerebral arteriovenous malformation (AVM) presents a great health threat due to its high probability of rupture that can cause severe brain damage. Image segmentation alone is not sufficient to support AVM embolization procedure. In order to successfully navigate the catheter and perform embolization, the segmented blood vessels need to be classified into feeding arteries, draining veins and the AVM nidus. For this reason we address here the AVM localization and vessel decomposition problem. We propose in this paper a novel AVM localization and vessel delineation method using ordered thinning-based skeletonization. The main focus of vessel delineation is the delineation of draining veins since it is essential for the embolization procedure. The main contribution is a graph-based method for exact extraction of draining veins which, in combination with our earlier work on AVM detection, allows the AVM decomposition into veins, arteries and the nidus (with an emphasis on the draining veins). We validate the proposed approach on blood vessel phantoms representing the veins and the AVM structure, as well as on cerebral 3D digital rotational angiography (3DRA) images before and after embolization, paired with digital subtraction angiography (DSA) images. Results on AVM delineation show high correspondence to the ground truth structures and indicate potentials for use in surgical planning.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

Napomena
Časopis je indeksiran i u slijedećim bazama: Aerospace Database ; Cancerlti ; Computer and Information Systems Abstract ; Computer Content ; Computer Database ; Computer Science Index ; Current Awareness in Biological Sciences ; Current Index to Statistics ; Elsevier BIOBASe ; EMBiology ; EMCARE ; Engineering Index ; Gale Group Computer DB ; Gale Group ComputInternational Nursing IndexLife Sciences Abstract ; International Nursing Index ; PASCAL ; Social SciSearch ; Technology Research Database ; Telegen ; Time Technology ; UnCover. Abstracts of Mycology



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka:


  • BIOSIS Previews (Biological Abstracts)
  • BioEngineering Abstracts
  • CA Search (Chemical Abstracts)
  • Compendex (EI Village)
  • INSPEC
  • LISA: Library and Information Science Abstracts
  • MathSciNet
  • Abstracts of Mycology Aerospace Database
  • Biotechnology and Bioengineering Abstracts
  • Cancerlti
  • Computer and Information Systems Abstract
  • Computer Contents
  • Computer Database
  • Computer Science Index


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