Segmentation of Knee Cartilage: A Comprehensive Review

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10244452" target="_blank" >RIV/61989100:27240/18:10244452 - isvavai.cz</a>
Result on the web
<a href="https://www.ingentaconnect.com/content/asp/jmihi/2018/00000008/00000003/art00001" target="_blank" >https://www.ingentaconnect.com/content/asp/jmihi/2018/00000008/00000003/art00001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1166/jmihi.2018.2376" target="_blank" >10.1166/jmihi.2018.2376</a>

Result language
angličtina
Original language name
Segmentation of Knee Cartilage: A Comprehensive Review
Original language description
The main aim of this study is a complex critical review of the methods applicable for the knee cartilage segmentation. Segmentation of the knee cartilage is intended for a quantitative and qualitative analysis of cartilage morphological structure. This task is important in a field of the clinical practice in the context of an early diagnosis of the pathological changes, such as the osteoarthritis. The cartilage segmentation methods are divided into manual, semiautomatic and automatic approaches, each of this group is associated with a certain level of the user interaction. Generally, the knee cartilage segmentation and extraction can be performed by various approaches including the edge tracking, intensity based methods, supervised learning, energy minimization, statistical methods and multiregional segmentation methods. Using of particular segmentation method is depended on a compromise which user is willing to accept with a respect to the robustness, segmentation purpose, computational time, accuracy and level of user interaction. Some of the presented methods are intended for a detection of cartilage shape, moreover other methods are able to identify the pathological changes badly recognizable from the native image records.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/GA17-03037S" target="_blank" >GA17-03037S: Investment evaluation of medical device development</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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