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Aneurysm identification by analysis of the blood-vessel skeleton

  • Josef Kohout
    ,
  • Alessandro Chiarini
    ,
  • Gordon Clapworthy
    ,
  • Gregor Klajnšek
Research Output: Contribution to journal Article Peer-review

Abstract

At least 1% of the general population have an aneurysm (or possibly more) in their cerebral blood vessels. If an aneurysm ruptures, it kills the patient in up to 60% of cases. In order to choose the optimal treatment, clinicians have to monitor the development of the aneurysm in time. Nowadays, aneurysms are typically identified manually, which means that the monitoring is often imprecise since the identification is observer dependent. As a result, the number of misdiagnosed cases may be large. This paper proposes a fast semi-automatic method for the identification of aneurysms which is based on the analysis of the skeleton of blood vessels. Provided that the skeleton is accurate, the results achieved by our method have been deemed acceptable by expert clinicians. *

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 32-47

Journal (Volume, Issue Number)

Computer Methods and Programs in Biomedicine (Volume 109, Issue 1)

Publication milestones

  • Published - 01/01/2013

Publication status

Published - 01/01/2013

ISSN

0169-2607

External Publication IDs

  • handle.net: 10547/288647
  • Scopus: 84869871796

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