Extraction of myocardial fibrosis using iterative active shape method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099579" target="_blank" >RIV/61989100:27240/16:86099579 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-662-49381-6_67" target="_blank" >http://dx.doi.org/10.1007/978-3-662-49381-6_67</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-662-49381-6_67" target="_blank" >10.1007/978-3-662-49381-6_67</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Extraction of myocardial fibrosis using iterative active shape method

Popis výsledku v původním jazyce

The article deals with complex analysis of myocardial fibrosis. In clinical practice, myocardial fibrosis is commonly examined by MRI. This kind of disease is commonly assessed by human eyes. There isn't any diagnostic software alternative for evaluation of myocardial fibrosis features. The proposed method partially solves this problem. The main intention is automatic extraction of fibrosis area. This area is represented by closed curve which reflects shape of analyzed object. At the beginning of algorithm, initial circle is set on the fibrosis area. In iterative steps, this circle adopts shape of pathologic lesion. Before execution of segmentation process it is needed to specify region of interest (RoI) and image preprocessing which comprises especially low pass filtration. Filtration process suppresses unwanted adjacent objects. This step is quite important because active shape method could spread out of fibrosis borders and resulting curve has wouldn't reflect real shape of myocardial fibrosis.

Název v anglickém jazyce

Extraction of myocardial fibrosis using iterative active shape method

Popis výsledku anglicky

The article deals with complex analysis of myocardial fibrosis. In clinical practice, myocardial fibrosis is commonly examined by MRI. This kind of disease is commonly assessed by human eyes. There isn't any diagnostic software alternative for evaluation of myocardial fibrosis features. The proposed method partially solves this problem. The main intention is automatic extraction of fibrosis area. This area is represented by closed curve which reflects shape of analyzed object. At the beginning of algorithm, initial circle is set on the fibrosis area. In iterative steps, this circle adopts shape of pathologic lesion. Before execution of segmentation process it is needed to specify region of interest (RoI) and image preprocessing which comprises especially low pass filtration. Filtration process suppresses unwanted adjacent objects. This step is quite important because active shape method could spread out of fibrosis borders and resulting curve has wouldn't reflect real shape of myocardial fibrosis.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

<a href="/cs/project/TG01010137" target="_blank" >TG01010137: PRE SEED fond VŠB-Technické univerzity Ostrava</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Computer Science. Volume 9621

ISBN

978-3-662-49380-9

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

10

Strana od-do

698-707

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Danang

Datum konání akce

14. 3. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000389380500067