Methodology to evaluate temperature changes in multiple sclerosis patients by calculating texture features from infrared thermography images. Issue 1 (1st January 2022)
- Record Type:
- Journal Article
- Title:
- Methodology to evaluate temperature changes in multiple sclerosis patients by calculating texture features from infrared thermography images. Issue 1 (1st January 2022)
- Main Title:
- Methodology to evaluate temperature changes in multiple sclerosis patients by calculating texture features from infrared thermography images
- Authors:
- Pérez-Buitrago, Sandra
Tobón-Pareja, Sara
Gómez-Gaviria, Yeraldín
Guerrero-Peña, Adriana
Díaz-Londoño, Gloria - Abstract:
- ABSTRACT: Multiple sclerosis (MS) is a progressive and degenerative disease that causes nerve conduction blocks due to demyelination in the central nervous system. Most MS patients experience a worsening of clinical signs and neurological symptoms when they are exposed to heat due to a thermoregulatory dysfunction. This paper proposes a novel methodology to understand temperature changes in MS patients by obtaining and evaluating texture features from infrared thermography (IRT) images. For that purpose, images of the legs of a MS patient and a healthy control subject with similar physical characteristics (while at rest and in a standing position) were recorded using a FLIR A655SC infrared camera. In the quantitative analysis of the resulting IRT images, three texture features (average, entropy, and uniformity) were computed, and the results were compared using statistical techniques. The statistical analysis showed that temperatures in the MS patient were not normally distributed, while those in the healthy control subject were normally distributed. In addition, significant differences in average, entropy, and uniformity were found between subjects. This methodology enables a quantitative evaluation of thermal distributions over different regions of the body and can be used in further studies into temperature changes in MS patients.
- Is Part Of:
- Quantitative infrared thermography. Volume 19:Issue 1(2022)
- Journal:
- Quantitative infrared thermography
- Issue:
- Volume 19:Issue 1(2022)
- Issue Display:
- Volume 19, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 19
- Issue:
- 1
- Issue Sort Value:
- 2022-0019-0001-0000
- Page Start:
- 1
- Page End:
- 11
- Publication Date:
- 2022-01-01
- Subjects:
- Texture feature -- infrared thermography (IRT) -- multiple sclerosis (MS) -- thermoregulatory dysfunction
Infrared technology -- Periodicals
Thermography -- Periodicals
Infrared technology
Thermography
Periodicals
621.362 - Journal URLs:
- http://www.tandfonline.com/loi/tqrt20 ↗
http://ejournals.ebsco.com/direct.asp?JournalID=711745 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/17686733.2020.1793283 ↗
- Languages:
- English
- ISSNs:
- 1768-6733
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21007.xml