Extraction of chondromalacia knee cartilage using multi slice thresholding method
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Extraction of chondromalacia knee cartilage using multi slice thresholding method
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TG01010137" target="_blank" >TG01010137: PRE SEED Fund of VSB-Technical univerzity of Ostrava</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
9
Pages from-to
395-403
Publisher name
Springer Verlag
Place of publication
London
Event location
Vung Tau
Event date
Nov 26, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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