Process of finding human knee in image based on multiple weighted thresholding and histograms of gradients

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F23%3A10158172" target="_blank" >RIV/00098892:_____/23:10158172 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/23:10254679

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10178913" target="_blank" >https://ieeexplore.ieee.org/document/10178913</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCC57093.2023.10178913" target="_blank" >10.1109/ICCC57093.2023.10178913</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Process of finding human knee in image based on multiple weighted thresholding and histograms of gradients

Popis výsledku v původním jazyce

Osteoarthritis is the most common joint disease, affecting about 12% of the population. It mainly affects the weight-bearing hip and knee joints but is also commonly found in other locations (spine, shoulder, elbow, and fingers). In Osteoarthritis, the articular cartilage is gradually destroyed, and its mechanical properties are altered, typically manifested externally by pain, frequent inflammation, and swelling. As part of the clinical needs of physicians, regular monitoring and recording of knee conditions are advisable during the follow-up and treatment of the disease. This paper proposes a process to obtain an image of the knee using a camera mounted on a sliding stand. To ensure the repeatability of the image acquisition, a software process is presented that allows finding the knee in the image. The found knee can be used in the unattended device to move the camera to an optimal position corresponding to the centre of the patient’s knee.

Název v anglickém jazyce

Process of finding human knee in image based on multiple weighted thresholding and histograms of gradients

Popis výsledku anglicky

Osteoarthritis is the most common joint disease, affecting about 12% of the population. It mainly affects the weight-bearing hip and knee joints but is also commonly found in other locations (spine, shoulder, elbow, and fingers). In Osteoarthritis, the articular cartilage is gradually destroyed, and its mechanical properties are altered, typically manifested externally by pain, frequent inflammation, and swelling. As part of the clinical needs of physicians, regular monitoring and recording of knee conditions are advisable during the follow-up and treatment of the disease. This paper proposes a process to obtain an image of the knee using a camera mounted on a sliding stand. To ensure the repeatability of the image acquisition, a software process is presented that allows finding the knee in the image. The found knee can be used in the unattended device to move the camera to an optimal position corresponding to the centre of the patient’s knee.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

30211 - Orthopaedics

Projekt

<a href="/cs/project/NU20-06-00269" target="_blank" >NU20-06-00269: Využití buněčných profilů a proteomiky synoviální tekutiny, případně tkání pro podporu klinického rozhodování u osteoartrózy kolena</a><br>

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

2023 24th International Carpathian Control Conference (ICCC)

ISBN

979-8-3503-1022-1

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

358-363

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

neuveden

Místo konání akce

Szilvásvárad

Datum konání akce

12. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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