Image Processing Techniques for ROI Identification in Rheumatoid Arthritis Patients from Thermal Images

Rheumatoid arthritis (RA) is a systemic autoimmune disease that manifests itself by joint inflammation, swelling, pain, tenderness and may involve extra-articular organs in severe cases. Joint inflammatory lesions are associated with higher temperature due to increased vascularity in the area of inf...

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Main Authors: Wasilewska Agnieszka, Pauk Jolanta, Ihnatouski Mikhail
Format: Article
Language:English
Published: Sciendo 2018-03-01
Series:Acta Mechanica et Automatica
Subjects:
Online Access:https://doi.org/10.2478/ama-2018-0008
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spelling doaj-d74bd32f58e54d43b5da1548e511efde2021-09-06T19:41:06ZengSciendoActa Mechanica et Automatica 2300-53192018-03-01121495310.2478/ama-2018-0008ama-2018-0008Image Processing Techniques for ROI Identification in Rheumatoid Arthritis Patients from Thermal ImagesWasilewska Agnieszka0Pauk Jolanta1Ihnatouski Mikhail2Faculty of Mechanical Engineering, Department of Automatic Control and Robotics, Bialystok University of Technology, ul. Wiejska 45C, 15-351Bialystok, PolandFaculty of Mechanical Engineering, Department of Automatic Control and Robotics, Bialystok University of Technology, ul. Wiejska 45C, 15-351Bialystok, PolandScientific and Research Department, Yanka Kupala State University of Grodno, Grodno, BelarusRheumatoid arthritis (RA) is a systemic autoimmune disease that manifests itself by joint inflammation, swelling, pain, tenderness and may involve extra-articular organs in severe cases. Joint inflammatory lesions are associated with higher temperature due to increased vascularity in the area of inflamed tissues. This papers aimed to identify heat patterns from ROIs to interpret the presence of inflammation in rheumatoid arthritis patients. The thermovisual image sequences were collected from 65 patients with Rheumatoid Arthritis (RA). Infrared images were generated by a thermal scanning camera (FLIR E60bx Systems Inc., USA). Separate recordings of left and right foot temperature changes were performed for 3 minute periods. The temperature measurement was performed at the moment right after cold water immersion (post-cooling temperature) and at the moment after thermal recovery (post-recovery temperature). The recording of 3-minute foot thermal recovery was used for analysis. Automatically identified ROI corresponds to the area of the soft tissues covering cuboid and navicular bone.https://doi.org/10.2478/ama-2018-0008dynamic thermographyimage processingsegmentationinflammation
collection DOAJ
language English
format Article
sources DOAJ
author Wasilewska Agnieszka
Pauk Jolanta
Ihnatouski Mikhail
spellingShingle Wasilewska Agnieszka
Pauk Jolanta
Ihnatouski Mikhail
Image Processing Techniques for ROI Identification in Rheumatoid Arthritis Patients from Thermal Images
Acta Mechanica et Automatica
dynamic thermography
image processing
segmentation
inflammation
author_facet Wasilewska Agnieszka
Pauk Jolanta
Ihnatouski Mikhail
author_sort Wasilewska Agnieszka
title Image Processing Techniques for ROI Identification in Rheumatoid Arthritis Patients from Thermal Images
title_short Image Processing Techniques for ROI Identification in Rheumatoid Arthritis Patients from Thermal Images
title_full Image Processing Techniques for ROI Identification in Rheumatoid Arthritis Patients from Thermal Images
title_fullStr Image Processing Techniques for ROI Identification in Rheumatoid Arthritis Patients from Thermal Images
title_full_unstemmed Image Processing Techniques for ROI Identification in Rheumatoid Arthritis Patients from Thermal Images
title_sort image processing techniques for roi identification in rheumatoid arthritis patients from thermal images
publisher Sciendo
series Acta Mechanica et Automatica
issn 2300-5319
publishDate 2018-03-01
description Rheumatoid arthritis (RA) is a systemic autoimmune disease that manifests itself by joint inflammation, swelling, pain, tenderness and may involve extra-articular organs in severe cases. Joint inflammatory lesions are associated with higher temperature due to increased vascularity in the area of inflamed tissues. This papers aimed to identify heat patterns from ROIs to interpret the presence of inflammation in rheumatoid arthritis patients. The thermovisual image sequences were collected from 65 patients with Rheumatoid Arthritis (RA). Infrared images were generated by a thermal scanning camera (FLIR E60bx Systems Inc., USA). Separate recordings of left and right foot temperature changes were performed for 3 minute periods. The temperature measurement was performed at the moment right after cold water immersion (post-cooling temperature) and at the moment after thermal recovery (post-recovery temperature). The recording of 3-minute foot thermal recovery was used for analysis. Automatically identified ROI corresponds to the area of the soft tissues covering cuboid and navicular bone.
topic dynamic thermography
image processing
segmentation
inflammation
url https://doi.org/10.2478/ama-2018-0008
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AT paukjolanta imageprocessingtechniquesforroiidentificationinrheumatoidarthritispatientsfromthermalimages
AT ihnatouskimikhail imageprocessingtechniquesforroiidentificationinrheumatoidarthritispatientsfromthermalimages
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