Determining Changes in Thermal Patterns in Canines based on Coat Type using Infrared Thermographic Imaging

Infrared thermography detects variations in surface temperatures. This imaging modality has been used to approximate body temperature, inflammation, and wellness. In mammals, the insulatory effect of hair coat type is likely to have disparate effects on surface temperature and patterning. To measure...

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Published in:The FASEB Journal
Main Authors: Kwon, Claire, Brundage, Cord
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2019
Subjects:
Online Access:http://dx.doi.org/10.1096/fasebj.2019.33.1_supplement.842.13
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spelling crwiley:10.1096/fasebj.2019.33.1_supplement.842.13 2024-06-02T08:05:05+00:00 Determining Changes in Thermal Patterns in Canines based on Coat Type using Infrared Thermographic Imaging Kwon, Claire Brundage, Cord 2019 http://dx.doi.org/10.1096/fasebj.2019.33.1_supplement.842.13 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor The FASEB Journal volume 33, issue S1 ISSN 0892-6638 1530-6860 journal-article 2019 crwiley https://doi.org/10.1096/fasebj.2019.33.1_supplement.842.13 2024-05-03T11:49:03Z Infrared thermography detects variations in surface temperatures. This imaging modality has been used to approximate body temperature, inflammation, and wellness. In mammals, the insulatory effect of hair coat type is likely to have disparate effects on surface temperature and patterning. To measure the difference in surface temperatures based on coat type in dogs ( Canis lupus familiaris ), an infrared thermographic imaging camera (i.e. FLIR B400) was used. Thermographic images were taken of the right and left sides of privately‐owned dogs (n = 50) Each animal acclimated in an indoor environment (23 ± 2.0 °C) for 15 minutes; images were taken at a minimum distance of 0.4 m. Mean surface temperatures were analyzed across the lateral surface of each animal. No difference in surface temperature was identified based on the laterality (P = 0.983). Mean surface temperatures were then categorized based on each dog's hair coat type: short coat (SC), long coat (LC), curly coat (CC), and double coat (DC). SC animals had a significantly higher surface temperature (31.57 ± 0.32 °C) than LC or DC animals (28.11 ± 0.95 °C for LC and 28.29 ± 2.00 °C for DC respectively; P < 0.001). Dogs characterized with a CC had an intermediate surface temperature of 29.96 ± 1.94 °C. Variability in surface temperature was independent of rectal temperature (P > 0.05). This evidence suggests that coat type should be considered when evaluating the surface temperature of canids and elevations in surface temperature should be interpreted within the context of an animal's coat characteristics. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal . Article in Journal/Newspaper Canis lupus Wiley Online Library The FASEB Journal 33 S1
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Infrared thermography detects variations in surface temperatures. This imaging modality has been used to approximate body temperature, inflammation, and wellness. In mammals, the insulatory effect of hair coat type is likely to have disparate effects on surface temperature and patterning. To measure the difference in surface temperatures based on coat type in dogs ( Canis lupus familiaris ), an infrared thermographic imaging camera (i.e. FLIR B400) was used. Thermographic images were taken of the right and left sides of privately‐owned dogs (n = 50) Each animal acclimated in an indoor environment (23 ± 2.0 °C) for 15 minutes; images were taken at a minimum distance of 0.4 m. Mean surface temperatures were analyzed across the lateral surface of each animal. No difference in surface temperature was identified based on the laterality (P = 0.983). Mean surface temperatures were then categorized based on each dog's hair coat type: short coat (SC), long coat (LC), curly coat (CC), and double coat (DC). SC animals had a significantly higher surface temperature (31.57 ± 0.32 °C) than LC or DC animals (28.11 ± 0.95 °C for LC and 28.29 ± 2.00 °C for DC respectively; P < 0.001). Dogs characterized with a CC had an intermediate surface temperature of 29.96 ± 1.94 °C. Variability in surface temperature was independent of rectal temperature (P > 0.05). This evidence suggests that coat type should be considered when evaluating the surface temperature of canids and elevations in surface temperature should be interpreted within the context of an animal's coat characteristics. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
format Article in Journal/Newspaper
author Kwon, Claire
Brundage, Cord
spellingShingle Kwon, Claire
Brundage, Cord
Determining Changes in Thermal Patterns in Canines based on Coat Type using Infrared Thermographic Imaging
author_facet Kwon, Claire
Brundage, Cord
author_sort Kwon, Claire
title Determining Changes in Thermal Patterns in Canines based on Coat Type using Infrared Thermographic Imaging
title_short Determining Changes in Thermal Patterns in Canines based on Coat Type using Infrared Thermographic Imaging
title_full Determining Changes in Thermal Patterns in Canines based on Coat Type using Infrared Thermographic Imaging
title_fullStr Determining Changes in Thermal Patterns in Canines based on Coat Type using Infrared Thermographic Imaging
title_full_unstemmed Determining Changes in Thermal Patterns in Canines based on Coat Type using Infrared Thermographic Imaging
title_sort determining changes in thermal patterns in canines based on coat type using infrared thermographic imaging
publisher Wiley
publishDate 2019
url http://dx.doi.org/10.1096/fasebj.2019.33.1_supplement.842.13
genre Canis lupus
genre_facet Canis lupus
op_source The FASEB Journal
volume 33, issue S1
ISSN 0892-6638 1530-6860
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1096/fasebj.2019.33.1_supplement.842.13
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