The objective of this study was to compare the method of thermography by using three different resolution thermal cameras and basic software for thermographic images, separating the two persons taking the thermographic images (thermographers) from the three persons interpreting the thermographic images (interpreters). This was accomplished by studying the repeatability between thermographers and interpreters. Forty-nine client-owned dogs of 26 breeds were enrolled in the study. The thermal cameras used were of different resolutions-80 × 80, 180 × 180 and 320 × 240 pixels. Two trained thermographers took thermographic images of the hip area in all dogs using all three cameras. A total of six thermographic images per dog were taken. The thermographic images were analyzed using appropriate computer software, FLIR QuickReport 2.1. Three trained interpreters independently evaluated the mean temperatures of hip joint areas of the six thermographic images for each dog. The repeatability between thermographers was >0.975 with the two higher-resolution cameras and 0.927 with the lowest resolution camera. The repeatability between interpreters was >0.97 with each camera. Thus, the between-interpreter variation was small. The repeatability between thermographers and interpreters was considered high enough to encourage further studies with thermographic imaging in dogs.
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http://dx.doi.org/10.1292/jvms.12-0180 | DOI Listing |
Acta Bioeng Biomech
June 2024
4Department of Pediatric Dentistry and Preclinical Dentistry, Wroclaw Medical University, Wrocław, Poland.
: Caries or iatrogenic thermal trauma of the teeth have a significant impact on the dental pulp structure connected with stimulation of angiogenesis and lymphangiogenesis. Therefore, the aim of the study was to identify the difference in the rate of heat dissipation by vessels present in the dental pulp. : Freshly extracted healthy ( = 10) and carious ( = 14) molars and premolars were cut on a diamond saw and subjected to active thermographic examination and then subjected to lymphoscintigraphy and X-ray examination.
View Article and Find Full Text PDFLife (Basel)
January 2025
Surgery Clinic, Faculty of Veterinary Medicine, University of Life Sciences "King Michael I", 300645 Timisoara, Romania.
Background: several authors have documented variations in local temperature in both horses and dogs presenting acute intervertebral disc extrusion (IVDE) along the entire spinal column. However, none have demonstrated distinct temperature differences between healthy animals and those with IVDE. A retrospective study was conducted to assess the efficacy of thermography at evaluating local temperature and thermal patterns in healthy dogs as well in those with IVDE across the T11-L3 area.
View Article and Find Full Text PDFOpen Vet J
November 2024
Department of Biology, College of Education for Women, University of Tikrit, Tikrit, Iraq.
Background: Long-term exposure to LTE signals at different frequencies has become a crucial problem in our daily life.
Aim: The aim of the study to figure out the thermal influence of LTE signals (850 MHz, 1800 MHz, and 2600 MHz) on hematological values in rat's model during different periods.
Methods: Forty adult male rats were randomly distributed into four equal groups (control, 850 MHz, 1800 MHz, and 2600 MHz exposure groups).
Exp Neurol
December 2024
Department of Pediatrics, UH Rainbow Babies & Children's Hospital, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America. Electronic address:
Neonatal sepsis results in significant morbidity and mortality, but early detection is clinically challenging. In a neonatal rat model of endotoxic shock, we characterised unique infrared thermographic (IRT) profiles in skin temperature that could identify risk of later mortality. Ten-day old rats were placed in a thermally stable isolette and IRT images of cranial (T), scapula (T) and rump (T) skin temperature were obtained continuously for 8 h following an intraperitoneal injection of lipopolysaccharide (LPS) or saline.
View Article and Find Full Text PDFJ Imaging
December 2024
Department of Computing, Electronics and Mechatronics, Universidad de las Américas Puebla, Sta. Catarina Martir, San Andrés Cholula 72810, Mexico.
Breast cancer is one of the leading causes of death for women worldwide, and early detection can help reduce the death rate. Infrared thermography has gained popularity as a non-invasive and rapid method for detecting this pathology and can be further enhanced by applying neural networks to extract spatial and even temporal data derived from breast thermographic images if they are acquired sequentially. In this study, we evaluated hybrid convolutional-recurrent neural network (CNN-RNN) models based on five state-of-the-art pre-trained CNN architectures coupled with three RNNs to discern tumor abnormalities in dynamic breast thermographic images.
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