scholarly journals Medical infrared thermal imaging of syringomyelia in the Cavalier King Charles Spaniel

2020 ◽  
Author(s):  
Michael Larkin ◽  
Catherine Loughin ◽  
Dominic Marino ◽  
Curtis Dewey ◽  
Scott Umbaugh ◽  
...  

Abstract Background Medical infrared thermal imaging (MITI) is a non-invasive imaging modality gaining popularity in the veterinary field. An infrared camera captures emission of heat and creates a color map in the form of a thermogram. Topical heat emission is influenced by localized disease processes as a result of autonomic nervous system imbalance. The purpose of this study was to determine the utility of using thermography to identify changes in thermographic patterns associated with syringomyelia (SM) presence or absence in Cavalier King Charles Spaniels (CKCS) with Chiari-like Malformation (CLM).Results In CKCS with CLM, MITI was most accurate at a texture distance of 6. Optimizing imaging feature sets produced a highest accuracy of 69.9% (95% CI: 59.5-79.0%), with 81.3% sensitivity and 57.8% specificity for identifying the presence of syringomyelia.Conclusion Thermographic image analysis is a successful non-invasive, diagnostic test that can be used to screen for syringomyelia presence in a CKCS with CLM.

2020 ◽  
Author(s):  
Michael Larkin ◽  
Catherine Loughin ◽  
Dominic Marino ◽  
Curtis Dewey ◽  
Scott Umbaugh ◽  
...  

Abstract Background Medical infrared thermal imaging (MITI) is a non-invasive imaging modality gaining popularity in the veterinary field. An infrared camera captures emission of heat and creates a color map in the form of a thermogram. Topical heat emission is influenced by localized disease processes as a result of autonomic nervous system imbalance. The purpose of this study was to determine the utility of using thermography to identify changes in thermographic patterns associated with syringomyelia (SM) presence or absence in Cavalier King Charles Spaniels (CKCS) with Chiari-like Malformation (CLM). Results In CKCS with CLM, MITI was most accurate at a texture distance of 6. Optimizing imaging feature sets produced a highest accuracy of 69.9% (95% CI: 59.5-79.0%), with 81.3% sensitivity and 57.8% specificity for identifying the presence of syringomyelia. Conclusion Thermographic image analysis is a successful non-invasive, diagnostic test that can be used to screen for syringomyelia presence in a CKCS with CLM.


2019 ◽  
Vol 15 (1) ◽  
Author(s):  
J. Sung ◽  
C. Loughin ◽  
D. Marino ◽  
F. Leyva ◽  
C. Dewey ◽  
...  

Abstract Background Medical infrared thermal imaging (MITI) is a noninvasive imaging modality used in veterinary medicine as a screening tool for musculoskeletal and neurological disease processes. An infrared camera measures the surface body heat and produces a color map that represents the heat distribution. Local trauma or disease can impair the autonomic nervous system, which leads to changes in the local dermal microcirculation and subsequent alteration of surface body heat. Disruption of autonomic flow to the cutaneous vasculature at deeper levels can also result in asymmetric thermographic results. The purpose of this study was to evaluate surface temperature differences between limbs affected by bone neoplasia and their normal contralateral limbs. Results A statistically significant difference in average temperature was noted between regions of interest of the two groups (paired difference: 0.53 C° ± 0.14; P = 0.0005). In addition, pattern recognition analysis yielded a 75–100% success rate in lesion identification. Conclusions Significant alterations noted with average temperature and thermographic patterns indicate that MITI can document discernible changes associated with the presence of canine appendicular bone tumors. While MITI cannot be used as the sole diagnostic tool for bone cancer, it can be used as a screening modality and may be applicable in early detection of cancer.


2018 ◽  
Vol 6 (2) ◽  
pp. 100-108 ◽  
Author(s):  
Oliver Jordan Gooday ◽  
Nicholas Key ◽  
Sharyn Goldstien ◽  
Peyman Zawar-Reza

We investigated the efficacy of infrared thermal imaging devices for detecting coastal marine mammals in forested coastal environments. Our objective was to determine whether pinnipeds could be detected through the forest canopy using thermal imagery. We used a UAV-mounted and a ground-mounted infrared camera to survey New Zealand fur seals (Arctocephalus forsteri) located in Ohau Stream and Point Kean coastal shrub forest on the east coast of New Zealand. These methods were compared to paired photographs and walk-through counts. Ground-mounted thermal images detected more seals than paired photographs during the cooler times of the day (morning and evening). In contrast, aerial thermal videos were successful in detecting fur seals in open areas, but were less successful in areas of high canopy cover (>80%). We discuss the advantages and limitations of thermal imaging for population sampling and provide some recommendations for future research.


2019 ◽  
Vol 99 ◽  
pp. 129-139 ◽  
Author(s):  
Muhammad Faiz Md Shakhih ◽  
Asnida Abdul Wahab ◽  
Maheza Irna Mohamad Salim

Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 46 ◽  
Author(s):  
Vardasca ◽  
Magalhaes ◽  
Mendes

Infrared thermal (IRT) imaging is a modality that allows non-invasive and non-ionizing monitoring of skin surface temperature distribution, providing underlining physiological information on peripheral blood flow, autonomic nervous system, vasoconstriction/vasodilatation, inflammation, transpiration or other processes that can contribute to skin temperature. This imaging method has been used in biomedical applications since 1956 and has proved its usefulness for vascular, neurological and musculoskeletal pathological situations. This research aims to identify and appraise the recent biomedical applications which had used intelligent analysis methods such as machine learning processes to classify and perform decision making towards improving the existing medical care, a literature review is presented and their operation in the biomedical applications of infrared thermal imaging.


Author(s):  
J. Eliseo B. Regla-Felix ◽  
Abel Hernandez-Guerrero ◽  
J. Luis Luviano-Ortiz ◽  
Tomas Moreno-Torres

Abstract Melanoma is one of the most common types of skin cancer that afflicts our society. Although melanoma accounts for 1% of the cases of skin cancer, due to its aggressiveness, it is responsible for most skin cancer-related deaths. Each year, approximately 132 000 new cases of melanoma are diagnosed worldwide, according to the World Health Organization, and just in USA an approximate of 7 230 people will die because of it. Early detection can lead to a significant reduction in melanoma death rates. Nowadays, there are various invasive and non-invasive detection methods of skin cancer. A type of non-invasive method uses an infrared thermal imaging camera, which can detect the difference in thermal behavior between healthy and malignant tissue during the thermal recovery process after a cooling stress applied to the skin. Such a thermal behavior can be simulated computationally, with a good approximation to reported case studies. This study proposes a numerical model that takes advantage of infrared thermal imaging to determine the effect of geometry and depth of the lesion with the cooling and recovery process using Design of Experiments (DoE). The results show that diameter and geometric shape of the lesion are the parameters that most influence the thermal response.


2015 ◽  
Vol 49 (1) ◽  
pp. 141-147 ◽  
Author(s):  
Monika Chudecka ◽  
Anna Lubkowska ◽  
Katarzyna Leźnicka ◽  
Krzysztof Krupecki

Abstract In order to achieve higher efficiency of training and thus better athletic performance, new research and diagnostic methods are constantly being developed, particularly those that are non-invasive. One such a method is thermography, suitable for quantitative and therefore objective evaluation of variables, such as changes in the temperature of the skin covering working muscles. The aim of this study was to use a thermal imaging infrared camera to evaluate temperature changes of symmetric body surfaces over symmetrically working muscles of male scullers after exercising on a two-oared rowing ergometer and compare these to asymmetrically working muscles of handball players after an endurance training session containing elements of an actual game. In the scullers, the mean temperature of body surfaces was always lower post than pre exercise, with no significant differences in an average temperature drop between the opposite sides, indicating that the work of the muscles involved in the physical exertion on the rowing ergometer was symmetrical. In contrast, in the handball players, skin temperatures in symmetric areas over the asymmetrically working muscles showed statistically significant differences between sides, which was associated with the functional asymmetry of training. This study indicates that thermal imaging may be useful for coaches in the evaluation of technical preparations in sports in which equal involvement of symmetric muscles is a condition of success, e.g. in scullers.


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