Time deformable segmentation model based on the active contour driven by Gaussian energy distribution: Extraction and modeling of early articular cartilage pathological interuptions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10237653" target="_blank" >RIV/61989100:27240/17:10237653 - isvavai.cz</a>

Výsledek na webu

<a href="http://ebooks.iospress.nl/publication/47569" target="_blank" >http://ebooks.iospress.nl/publication/47569</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/978-1-61499-800-6-242" target="_blank" >10.3233/978-1-61499-800-6-242</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Time deformable segmentation model based on the active contour driven by Gaussian energy distribution: Extraction and modeling of early articular cartilage pathological interuptions

Popis výsledku v původním jazyce

In the clinical orthopaedics, the articular cartilage monitoring is an important task having especially preventive effect. The magnetic resonance (MR) is commonly used clinical standard allowing for the effective differentiation of articular cartilage from surrounding tissues (bones, soft tissues). Nevertheless, the early pathological interruptions are often badly recognizable from the native MR records. This fact significantly influences clinical diagnosis. We have carried out the analysis of the segmentation method based on the active contour with the aim of autonomous modelling articular cartilage and indication of the early cartilage interruptions. The active contour model represents time deformable model adopting the articular cartilage geometrical features with respect to cartilage interruptions. Model of the articular cartilage reflects area of the physiological cartilage in the form of binary segmentation while the active contour model is terminated in the spot of the early pathological sign. Therefore, this time deformable model has ambitions to be used as a feedback to subjective physician&apos;s opinion because the model clearly differentiates the physiological cartilage structure from the early cartilage loss. © 2017 The authors and IOS Press. All rights reserved.

Název v anglickém jazyce

Time deformable segmentation model based on the active contour driven by Gaussian energy distribution: Extraction and modeling of early articular cartilage pathological interuptions

Popis výsledku anglicky

In the clinical orthopaedics, the articular cartilage monitoring is an important task having especially preventive effect. The magnetic resonance (MR) is commonly used clinical standard allowing for the effective differentiation of articular cartilage from surrounding tissues (bones, soft tissues). Nevertheless, the early pathological interruptions are often badly recognizable from the native MR records. This fact significantly influences clinical diagnosis. We have carried out the analysis of the segmentation method based on the active contour with the aim of autonomous modelling articular cartilage and indication of the early cartilage interruptions. The active contour model represents time deformable model adopting the articular cartilage geometrical features with respect to cartilage interruptions. Model of the articular cartilage reflects area of the physiological cartilage in the form of binary segmentation while the active contour model is terminated in the spot of the early pathological sign. Therefore, this time deformable model has ambitions to be used as a feedback to subjective physician&apos;s opinion because the model clearly differentiates the physiological cartilage structure from the early cartilage loss. © 2017 The authors and IOS Press. All rights reserved.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA17-03037S" target="_blank" >GA17-03037S: Hodnocení investic do vývoje zdravotních prostředků</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Frontiers in Artificial Intelligence and Applications. Volume 297

ISBN

978-1-61499-799-3

ISSN

0922-6389

e-ISSN

1535-6698

Počet stran výsledku

14

Strana od-do

242-255

Název nakladatele

IOS Press

Místo vydání

Amsterodam

Místo konání akce

Kitakjúšú

Datum konání akce

26. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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