2023
DOI: 10.3390/app131911006
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Quantification of the Area of the Highest Temperature in Equine Infrared Images

Małgorzata Maśko,
Marta Borowska,
Urszula Sikorska
et al.

Abstract: Infrared thermography is a valuable tool adapted for veterinary diagnostics with an increasing number of uses. However, proper image acquisition is hard, not only due to various factors affecting the image but also because informative image processing is a struggle. Thus, this study aims to quantify the area of maximum temperature (Area of Tmax) on the lateral surface of horses and foals to compare the Areas of Tmax between horses and foals and to compare two new approaches to the Area of Tmax quantification i… Show more

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Cited by 5 publications
(6 citation statements)
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“…This study introduces a novel approach for assessing surface temperature considering the temperature distribution across the entire body surface. It can be evaluated without the need for image segmentation using ROIs [ 61 ], minimizing associated inaccuracies. This method offers great convenience by eliminating the requirement for time-consuming segmentation and the subjective determination of ROIs.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This study introduces a novel approach for assessing surface temperature considering the temperature distribution across the entire body surface. It can be evaluated without the need for image segmentation using ROIs [ 61 ], minimizing associated inaccuracies. This method offers great convenience by eliminating the requirement for time-consuming segmentation and the subjective determination of ROIs.…”
Section: Discussionmentioning
confidence: 99%
“…The images were segmented automatically since the entire image does not constitute the surface of the horse, the surface temperature of which is shades of purple and navy blue for , was masked using HEX color #000000. All non-#000000 pixels were counted following Maśko et al [ 61 ]. The pixel colors were defined using HEX color codes from the rgb2hex library ( , accessed on 10 October 2023).…”
Section: Methodsmentioning
confidence: 99%
“…Basic image evaluation includes point, linear, or area measurement of minimum, maximum, and/or average temperature in the region of interest (ROI) corresponding to selected areas of the back [ 72 , 73 , 74 ]. However, modern analytical approaches, such as image texture analysis [ 75 , 76 , 77 ], image entropy analysis [ 78 ], and the application of a Pixel-Counting Protocol [ 79 , 80 ] are also available. The main disadvantage of IRT imaging is its low specificity due to the influence of factors such as the thickness of the skin and subcutaneous tissue [ 81 ], the length of the hair, external temperature [ 73 , 82 ], humidity of both the air and the horse’s body, and sunlight at the imaging location [ 71 ].…”
Section: Conventional Diagnostic Protocol Of Equine Back Painmentioning
confidence: 99%
“…The BMD was quantified using the color pixel-counting (CPC) protocol [63]. Each sub-image was resized to 423 pixels wide by 536 pixels high to ensure the visibility of the entire calcaneus and a fragment of the proximal epiphysis of the second, third, and fourth metatarsal bones.…”
Section: Radiograph Quantificationmentioning
confidence: 99%