Tracking of Bone Reparation Process with Using of Periosteal Callus Extraction Based on Fuzzy C-means Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238386" target="_blank" >RIV/61989100:27240/17:10238386 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/content/pdf/10.1007/978-3-319-56660-3_24.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007/978-3-319-56660-3_24.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-56660-3_24" target="_blank" >10.1007/978-3-319-56660-3_24</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Tracking of Bone Reparation Process with Using of Periosteal Callus Extraction Based on Fuzzy C-means Algorithm

Popis výsledku v původním jazyce

In the field of the clinical traumatology, bone reparation is one of the essential factors which are followed. Bone fractures are clinically evaluated on the base of the X-ray images providing relatively high contrast between bone and affected spot, on the other hand one important identifier of bone reparation (periosteal callus) is often badly observable from native data. Furthermore, periosteal callus is only clinically evaluated by naked eye without SW feedback providing supervised quantification. From the aforementioned reasons we established cooperation with Department of Traumatology on the automatic segmentation and modelling of a periosteal callus leading to tracking of bone reparation. We developed system serving for automatic extraction of a periosteal callus, consequently allowing for compute of callus area for time comparison in the form of the predictive model.

Název v anglickém jazyce

Tracking of Bone Reparation Process with Using of Periosteal Callus Extraction Based on Fuzzy C-means Algorithm

Popis výsledku anglicky

In the field of the clinical traumatology, bone reparation is one of the essential factors which are followed. Bone fractures are clinically evaluated on the base of the X-ray images providing relatively high contrast between bone and affected spot, on the other hand one important identifier of bone reparation (periosteal callus) is often badly observable from native data. Furthermore, periosteal callus is only clinically evaluated by naked eye without SW feedback providing supervised quantification. From the aforementioned reasons we established cooperation with Department of Traumatology on the automatic segmentation and modelling of a periosteal callus leading to tracking of bone reparation. We developed system serving for automatic extraction of a periosteal callus, consequently allowing for compute of callus area for time comparison in the form of the predictive model.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/TG01010137" target="_blank" >TG01010137: PRE SEED fond VŠB-Technické univerzity Ostrava</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Studies in Computational Intelligence. Volume 710

ISBN

978-3-319-56660-3

ISSN

1860-949X

e-ISSN

neuvedeno

Počet stran výsledku

10

Strana od-do

271-280

Název nakladatele

Springer

Místo vydání

Singapur

Místo konání akce

Kanazawa

Datum konání akce

3. 4. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000405324000024