Extraction of chondromalacia knee cartilage using multi slice thresholding method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099586" target="_blank" >RIV/61989100:27240/16:86099586 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-29236-6_37" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29236-6_37</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-29236-6_37" target="_blank" >10.1007/978-3-319-29236-6_37</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Extraction of chondromalacia knee cartilage using multi slice thresholding method

Popis výsledku v původním jazyce

The paper deals with design of segmentation method for extraction special types of pathological changes of knee cartilage. Those changes are called chondromalacia of knee cartilage. These pathological changes unfavorable influence cartilage's surface and significantly deteriorate their structure. Knee cartilage is typically investigated by Magnetic resonance imaging (MRI). MRI is very effective method which is able to differentiate individual knee structures. On the other hand some tiny tissue's changes are not clearly recognizable because MRI generates image outputs in shade gray levels. Chondromalacia in early stage is manifested by weak contrast compared to its surroundings and therefore it is very complicated to recognize and locate spots where this change is. The proposed segmentation method is able to precisely differentiate individual cartilage structures and perform extraction of cartilage structure and adjacent pathological changes. Furthermore the proposed segmentation method transform MRI data to contrasting color map which is more effective approach then gray shade levels. The proposed algorithm is being tested on sample 30 patient's records and results are discussed with radiological experts.

Název v anglickém jazyce

Extraction of chondromalacia knee cartilage using multi slice thresholding method

Popis výsledku anglicky

The paper deals with design of segmentation method for extraction special types of pathological changes of knee cartilage. Those changes are called chondromalacia of knee cartilage. These pathological changes unfavorable influence cartilage's surface and significantly deteriorate their structure. Knee cartilage is typically investigated by Magnetic resonance imaging (MRI). MRI is very effective method which is able to differentiate individual knee structures. On the other hand some tiny tissue's changes are not clearly recognizable because MRI generates image outputs in shade gray levels. Chondromalacia in early stage is manifested by weak contrast compared to its surroundings and therefore it is very complicated to recognize and locate spots where this change is. The proposed segmentation method is able to precisely differentiate individual cartilage structures and perform extraction of cartilage structure and adjacent pathological changes. Furthermore the proposed segmentation method transform MRI data to contrasting color map which is more effective approach then gray shade levels. The proposed algorithm is being tested on sample 30 patient's records and results are discussed with radiological experts.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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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 of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Volume 165

ISBN

978-3-319-29235-9

ISSN

1867-8211

e-ISSN

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Počet stran výsledku

9

Strana od-do

395-403

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Vung Tau

Datum konání akce

26. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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