Segmentation methods for MRI processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU79623" target="_blank" >RIV/00216305:26220/09:PU79623 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Segmentation methods for MRI processing

Popis výsledku v původním jazyce

The paper describes the segmentation of NMR image of the human head in the region of temporomandibular joint. Images obtained by the tomograph used are of very low resolution and contrast, and processing them can prove to be difficult. There were found many methods for segmentation of small and noised parts of NMR images such as active contours, region-based or edge-based level set segmentation methods and very known the region growing method. An appropriate algorithm has been found, which consists of pre-processing the image by a smoothing filter, sharpening, and four-phase level set segmentation. This method segments the image on the basis of the intensity of regions and is thus suitable to be applied to the above NMR images, in which no sharp edgesoccur. The method also has some filtering capability. The paper describes the most popular segmentation methods in MRI processing and it is shown the result of the mentioned four-phase level set segmentation method. The future work will b

Název v anglickém jazyce

Segmentation methods for MRI processing

Popis výsledku anglicky

The paper describes the segmentation of NMR image of the human head in the region of temporomandibular joint. Images obtained by the tomograph used are of very low resolution and contrast, and processing them can prove to be difficult. There were found many methods for segmentation of small and noised parts of NMR images such as active contours, region-based or edge-based level set segmentation methods and very known the region growing method. An appropriate algorithm has been found, which consists of pre-processing the image by a smoothing filter, sharpening, and four-phase level set segmentation. This method segments the image on the basis of the intensity of regions and is thus suitable to be applied to the above NMR images, in which no sharp edgesoccur. The method also has some filtering capability. The paper describes the most popular segmentation methods in MRI processing and it is shown the result of the mentioned four-phase level set segmentation method. The future work will b

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

<a href="/cs/project/GA102%2F07%2F1086" target="_blank" >GA102/07/1086: Specifické zobrazovací metody pracující na bázi magnetické resonance a ultrazvuku pro studium čelistních kloubů</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

Recent Advances in Numerical Modelling

ISBN

978-83-922095-8-4

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

—

Název nakladatele

Neuveden

Místo vydání

Polsko

Místo konání akce

Polsko

Datum konání akce

10. 5. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—