Surface of articular cartilage extraction using fuzzy C-means segmentation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099577" target="_blank" >RIV/61989100:27240/16:86099577 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-31277-4_18" target="_blank" >http://dx.doi.org/10.1007/978-3-319-31277-4_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-31277-4_18" target="_blank" >10.1007/978-3-319-31277-4_18</a>

Result language
angličtina
Original language name
Surface of articular cartilage extraction using fuzzy C-means segmentation
Original language description
The article deals with complex segmentation approach which is focused on detection of pathological changes on the articular cartilage surface. There is a significant problem, in the clinical practice with recognition of individual structures of cartilage surface. Cartilages are normally investigated either by ultrasound or MRI. Both methods give output images in shade level spectrum. This fact is severe problem for detection especially small changes which indicate surface deterioration. This pathological stage often leads to further development of disease which cause to total loss of articular cartilage. The proposed software approach partially solves mentioned problem. The core of segmentation is based on fuzzy C-means algorithm which is very sensitive even in the noisy environment and for tiny structures as well. Furthermore, color transformation is implemented. This key benefit of proposed software allows transformation physiological cartilage to color spectrum, other tissues are suppressed. In the output, we give mathematical model of articular cartilage with detection of pathological discontinuities.
Czech name
—
Czech description
—

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)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Studies in Computational Intelligence. Volume 642
ISBN
978-3-319-31276-7
ISSN
1860-949X
e-ISSN
—
Number of pages
11
Pages from-to
209-219
Publisher name
Springer Verlag
Place of publication
London
Event location
Danang
Event date
Mar 14, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390824900018

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