Domino Małgorzata, Romaszewski Michał, Jasiński Tomasz, Maśko Małgorzata
Veterinary Research Centre and Center for Biomedical Research, Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences (WULS-SGGW), 02-787 Warsaw, Poland.
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, 44-100 Gliwice, Poland.
Animals (Basel). 2020 Nov 24;10(12):2201. doi: 10.3390/ani10122201.
Infrared thermography (IRT) is a valuable diagnostic tool in equine veterinary medicine; however, little is known about its application to donkeys. This study aims to find patterns in thermal images of donkeys and horses and determine if these patterns share similarities. The study is carried out on 18 donkeys and 16 horses. All equids undergo thermal imaging with an infrared camera and measurement of the skin thickness and hair coat length. On the class maps of each thermal image, fifteen regions of interest (ROIs) are annotated and then combined into 10 groups of ROIs (GORs). The existence of statistically significant differences between surface temperatures in GORs is tested both "globally" for all animals of a given species and "locally" for each animal. Two special cases of animals that differed from the rest are also discussed. The results indicate that the majority of thermal patterns are similar for both species; however, average surface temperatures in horses (22.72±2.46 °C) are higher than in donkeys (18.88±2.30 °C). This could be related to differences in the skin thickness and hair coat. The patterns of both species are associated with GORs, rather than with an individual ROI, and there is a higher uniformity in the donkeys' patterns.
红外热成像（IRT）是马兽医医学中一种有价值的诊断工具；然而，关于其在驴身上的应用却知之甚少。本研究旨在找出驴和马的热图像中的模式，并确定这些模式是否具有相似性。该研究对18头驴和16匹马进行。所有马属动物都用红外相机进行热成像，并测量皮肤厚度和被毛长度。在每个热图像的类别图上，标注15个感兴趣区域（ROI），然后将其组合成10组感兴趣区域（GOR）。对给定物种的所有动物“整体”以及对每只动物“局部”测试GOR中表面温度之间是否存在统计学上的显著差异。还讨论了与其他动物不同的两个特殊动物案例。结果表明，两种物种的大多数热模式相似；然而，马的平均表面温度（22.72±2.46℃）高于驴（18.88±2.30℃）。这可能与皮肤厚度和被毛的差异有关。两种物种的模式都与GOR相关，而不是与单个ROI相关，并且驴的模式具有更高的一致性。
