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Aneurysm identification by analysis of the blood-vessel skeleton
J. Kohout, A. Chiarini, GJ. Clapworthy, G. Klajnšek,
Jazyk angličtina Země Irsko
Typ dokumentu časopisecké články, práce podpořená grantem
- MeSH
- algoritmy MeSH
- arteriae cerebrales patologie radiografie MeSH
- databáze faktografické MeSH
- intrakraniální aneurysma patologie radiografie MeSH
- lidé MeSH
- mozek krevní zásobení MeSH
- mozková angiografie MeSH
- počítačové zpracování obrazu metody MeSH
- pravděpodobnost MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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.
Citace poskytuje Crossref.org
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- $a Kohout, Josef $u Department of Computer Science and Engineering, University of West Bohemia, Plzeň, Czech Republic. besoft@kiv.zcu.cz
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- $a 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.
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