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  • 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.
  • 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. (en)
Title
  • Aneurysm identification by analysis of the blood-vessel skeleton
  • Aneurysm identification by analysis of the blood-vessel skeleton (en)
skos:prefLabel
  • Aneurysm identification by analysis of the blood-vessel skeleton
  • Aneurysm identification by analysis of the blood-vessel skeleton (en)
skos:notation
  • RIV/49777513:23520/13:43915651!RIV14-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0090), S
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 61246
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/13:43915651
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • VTK; semi-automatic detection; @neurIST; cerebral aneurysm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • IR - Íránská islámská republika
http://linked.open...ontrolniKodProRIV
  • [73EAD9B3537D]
http://linked.open...i/riv/nazevZdroje
  • Computer Methods and Programs in Biomedicine
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 109
http://linked.open...iv/tvurceVysledku
  • Kohout, Josef
  • Clapworthy, Gordon J.
  • Chiarini, Alesandro
  • Klajnšek, Gregor
http://linked.open...ain/vavai/riv/wos
  • 000312473300004
issn
  • 0169-2607
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.cmpb.2012.08.018
http://localhost/t...ganizacniJednotka
  • 23520
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