Multiregional fuzzy thresholding segmentation completed by spatial median aggregation: Modeling and segmentation of early pathological findings of articular cartilage

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10235905" target="_blank" >RIV/61989100:27240/18:10235905 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-981-10-5122-7_219" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-10-5122-7_219</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-10-5122-7_219" target="_blank" >10.1007/978-981-10-5122-7_219</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multiregional fuzzy thresholding segmentation completed by spatial median aggregation: Modeling and segmentation of early pathological findings of articular cartilage

Popis výsledku v původním jazyce

In the field of the clinical orthopedics, articular cartilage is one of the essential object which is evaluated. From the clinical point of view, the early osteoarthritis changes are increasingly challenging especially due to their insufficient contras against image background. Therefore, those findings are often only subjectively estimated from MR records. We have proposed a mathematical model based on the multiregional thresholding methodology, which is able to differentiate of physiological articular cartilage from osteoarthritic findings. Segmentation method is composed from two parts: brightness modeling via fuzzy triangular functions, and spatial median aggregation procedure taking into account the spatial pixel information which makes the model robust against noise and artifact which are often incorrectly classified. A method was tested on the sample of MR data from Proton Dense sequence and Fat Suppression sequence with satisfactory results. (C) Springer Nature Singapore Pte Ltd. 2018.

Název v anglickém jazyce

Multiregional fuzzy thresholding segmentation completed by spatial median aggregation: Modeling and segmentation of early pathological findings of articular cartilage

Popis výsledku anglicky

In the field of the clinical orthopedics, articular cartilage is one of the essential object which is evaluated. From the clinical point of view, the early osteoarthritis changes are increasingly challenging especially due to their insufficient contras against image background. Therefore, those findings are often only subjectively estimated from MR records. We have proposed a mathematical model based on the multiregional thresholding methodology, which is able to differentiate of physiological articular cartilage from osteoarthritic findings. Segmentation method is composed from two parts: brightness modeling via fuzzy triangular functions, and spatial median aggregation procedure taking into account the spatial pixel information which makes the model robust against noise and artifact which are often incorrectly classified. A method was tested on the sample of MR data from Proton Dense sequence and Fat Suppression sequence with satisfactory results. (C) Springer Nature Singapore Pte Ltd. 2018.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA17-03037S" target="_blank" >GA17-03037S: Hodnocení investic do vývoje zdravotních prostředků</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

IFMBE Proceedings. Volume 65

ISBN

978-981-10-5121-0

ISSN

1680-0737

e-ISSN

neuvedeno

Počet stran výsledku

4

Strana od-do

876-879

Název nakladatele

Springer

Místo vydání

Singapur

Místo konání akce

Tampere

Datum konání akce

11. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000449778900219