Aneurysm identification by analysis of the blood-vessel skeleton

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43915651" target="_blank" >RIV/49777513:23520/13:43915651 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.cmpb.2012.08.018" target="_blank" >http://dx.doi.org/10.1016/j.cmpb.2012.08.018</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cmpb.2012.08.018" target="_blank" >10.1016/j.cmpb.2012.08.018</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Aneurysm identification by analysis of the blood-vessel skeleton

Popis výsledku v původním jazyce

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 expertclinicians.

Název v anglickém jazyce

Aneurysm identification by analysis of the blood-vessel skeleton

Popis výsledku anglicky

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 expertclinicians.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computer Methods and Programs in Biomedicine

ISSN

0169-2607

e-ISSN

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Svazek periodika

109

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

IR - Íránská islámská republika

Počet stran výsledku

16

Strana od-do

32-47

Kód UT WoS článku

000312473300004

EID výsledku v databázi Scopus

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