• Journal of Korean Physical Therapy Science
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• v.7 no.2
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• pp.597-605
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• 2000

There has been several usual ways to cure pain in osteological muscle: use oral medicine or injection, or apply medicine to a sore place. The purpose of this study was to examine, by using thermometer and digital infrared thermographic imaging, how much the permeation of aceclofenac, an anodyne and antiphlogistic, into sore skin brought a change to skin temperature after that was' applied to it. The findings of this study were as below; 1. A cream made of aceclofenac yielded $0.61^{\circ}C$ difference in temperature, but the difference wasn't statistically significant. 2. An aceclofenac to which oleic acid was added went through microemulsion and applied, and there was $0.3^{\circ}C$ change in temperature, the biggest significant difference(P<.05), after approximately 15 minutes passed. 3. An aceclofenac to which labrasol was added went through microemulsion and applied, and there was a growing rise in temperature with the lapse of time. After 30 minutes passed, the final temperature showed $1.25^{\circ}C$ rise, which was a significant change(P<.05). 4. As the temperature was measured by digital infrared thermographic imaging, there was about $3.97^{\circ}C$ fall, the biggest change, which was significant(P<.05). The findings of this study suggested that the application of aceclofenac to sore skin caused a change in skin temperature, as that permeated into it.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.203-207
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• 2018

This paper deals with the design and development of a lens system capable of imaging an infrared image of $3{\sim}5{\mu}m$ wavelength bands with a focal length of 24mm and good atmospheric transmission characteristics. The design used CodeV, a commercial design program, and the optimization is carried out with weighting to eliminate chromatic aberration, spherical aberration and distortion. The designed lens system consists of two lenses consisting of Si and Ge. Each lens has an aspherical surface on one side. And this optical system has the resolution of the characteristics that the MTF value is 0.40 at the line width of 29lp/mm and the MTF value is 0.25 at the line width of 20lp/mm. This optical system is considered to have the capability to be applied to the thermal imaging camera for MWIR using the $206{\times}156$ array infrared detector of $25{\mu}m$ pixels and the $320{\times}240$ array infrared detector of $17{\mu}m$ pixels.

• Journal of Oriental Medical Thermology
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• v.1 no.1
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• pp.47-51
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• 2002

Objectives : It is the object of Qigong therapy to promote the circulation of Qi and blood, and to relieve mentality by way of warming lower Danjon. In this study, to prove that Qigong therapy could actually subside heat on upper or middle Danjon and warm the temperature on lower Danjon, we observed the thermal changes of upper, middle, lower Danjon before and after Qigong therapy and compared them. Methods : We selected 16 patients, treated Qigong therapy and examined by D.I.T.I.(Digital Infrared Thermographic Imaging) before and after Qigong therapy, among patients who visited. Qigong clinic, Kangnam Korean hospital, Kyunghee University(Daechi-2dong, Kangnam-Gu) from april to october, 1999. We watched the difference of temperature among upper, middle, lower Danjon before and after Qigong therapy, and used student T-test(paired type, 2 tail) for proving effects of Qigong therapy statistically. Conclusions 1. The difference of temperature$({\Delta}T)$ between upper(Ex-HN3) and lower Danjon(CV4) significantly decreased about $0.55^{\circ}C$ after Qigong therapy(p<0.01). 2. The difference of temperature${\Delta}T$ between middle(CV17) and lower Danjon(CV4) significantly decreased about $0.39^{\circ}C$ after Qigong therapy(p<0.05). 3. The difference of temperature${\Delta}T$ between upper(Ex-HN3) and middle Danjon(CV17) decreased about $0.25^{\circ}C$ after Qigong therapy, but it was not statistically significant.

• Journal of Oriental Medical Thermology
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• v.9 no.1
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• pp.51-56
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• 2011

Purpose : The purpose of this study is to report the comparison of X-ray and Digital Infrared Thermographic Imaging (DITI) of a patient with idiopathic scoliosis. Method: The patient in this case was a 25-year-old female. Her chief complaint was a pain in lumbar, scapular and shoulder regions. We examined her with DITI and X-ray. And then We compared DITI and X-ray. Results: Cobb's angle of thoracic spine was $24.78^{\circ}$ as a primary curve. Cobb's angle of thoracolumbar spine was $17.63^{\circ}$. Temperature on convex side of the thoracic spine was $0.3^{\circ}C$ higher than the other side. Temperature on convex side of cervical spine was $1.4^{\circ}C$ higher than the other side. There was no correlation curvature degree with temperature difference. Conclusion : There was a tendency that the temperature on convex side of the spine is higher than the other side of the spine. DITI is a useful assessment tool when it is used with X-ray as a diagnostic tool of idiopathic scoliosis. Further studies are needed.

• The Journal of Korean Obstetrics and Gynecology
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• v.32 no.4
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• pp.25-38
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• 2019

Objectives: The purpose of this study is to analysis differences of heart rate variability (HRV), body composition, digital infrared thermal imaging (DITI), and electro pulse graph by whether there are some causes of dysmenorrhea or not. Methods: We studied 89 patients who took at least one test among HRV, Body composition, DITI, and electro pulse graph visiting Kyung Hee University Hospital at Gangdong from March 1, 2014 to May 7, 2019. Results: There were statistically significant differences in Low frequency (LF), LF norm and High frequency norm (HF norm) of HRV between primary dysmenorrhea patients and secondary dysmenorrhea patients. There were statistically significant differences in Body Mass Index (BMI) and body fat percentage of Body composition between two groups. But both BMI were included in normal range. There were no statistically significant difference in DITI results. And there was significant difference of Estimated circulation resistance (ECR) between two groups. Conclusions: The results suggest that hormone imbalance of secondary dysmenorrhea patients can affect HRV results. And because of high ECR, phlegm pathology can be more considered in secondary dysmenorrhea patients. Further study should be conducted to confirm the results of body composition and DITI differences.

• The Journal of Korean Institute of Information Technology
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• v.16 no.11
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• pp.115-121
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• 2018

Fluorescent images using near-infrared light have no worry about radioactivity, and images can be checked in real time during surgery. Therefore experiments using fluorescent images for monitoring lymph node biopsy are actively under way. Fluorescent imaging equipment uses high heat-generating components such as LED and camera, thus uses water-cooling system as a stable heating suppression means. However in the fluorescent image equipment, the water cooling system takes a large volume which is a disadvantage in terms of miniaturization of the equipment. Even if the air cooling system is used for miniaturizing the equipment, heat generation is a problem. In this paper, we have experimented with the air cooling method using PWM control for the miniaturization of the equipment, and confirmed the constant quality of the fluorescent image and the suppression of the heat generation without any problems even when the equipment is used for a long time.

• Medical Lasers
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• v.10 no.3
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• pp.123-131
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• 2021

Optical imaging modalities with properties of real-time, non-invasive, in vivo, and high resolution for image-guided surgery have been widely studied. In this review, we introduce two optical imaging systems, that could be the core of image-guided surgery and introduce the system configuration, implementation, and operation methods. First, we introduce the optical coherence tomography (OCT) system implemented by our research group. This system is implemented based on a swept-source, and the system has an axial resolution of 11 ㎛ and a lateral resolution of 22 ㎛. Second, we introduce a fluorescence imaging system. The fluorescence imaging system was implemented based on the absorption and fluorescence wavelength of indocyanine green (ICG), with a light-emitting diode (LED) light source. To confirm the performance of the two imaging systems, human malignant melanoma cells were injected into BALB/c nude mice to create a xenograft model and using this, OCT images of cancer and pathological slide images were compared. In addition, in a mouse model, an intravenous injection of indocyanine green was used with a fluorescence imaging system to detect real-time images moving along blood vessels and to detect sentinel lymph nodes, which could be very important for cancer staging. Finally, polarization-sensitive OCT to find the boundaries of cancer in real-time and real-time image-guided surgery using a developed contrast agent and fluorescence imaging system were introduced.

• Korean Journal of Optics and Photonics
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• v.23 no.1
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• pp.23-31
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• 2012

In this paper, we developed a frequency-domain diffuse optical imaging (DOI) system for imaging non-invasively using near-infrared (NIR) light sources and detectors. 70-MHz modulation and a homodyne scheme were adopted. By calibration of the coupling coefficients, concurrent detection measurements by 4 detector sets were optimized. We presented experimental reconstruction images of absorption and scattering coefficients in a liquid phantom, located an anomaly in the phantom and determined its optical properties. The images by the multi-channel concurrent detection were improved over the results by single-channel sequential detection. Tomographic slices of absorption and scattering coefficients in the phantom with an anomaly were also presented.

• Journal of Animal Science and Technology
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• v.66 no.1
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• pp.31-56
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• 2024

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.5006-5022
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• 2017

Effect and robust detection of targets in infrared images has crucial meaning for many applications, such as infrared guidance, early warning, and video surveillance. However, it is not an easy task due to the special characteristics of the infrared images, in which the background clutters are severe and the targets are weak. The recent literature demonstrates that sparse representation can help handle the detection problem, however, the detection performance should be improved. To this end, in this text, a hybrid method based on local sparse representation and contrast is proposed, which can effectively and robustly detect the infrared targets. First, a residual image is calculated based on local sparse representation for the original image, in which the target can be effectively highlighted. Then, a local contrast based method is adopted to compute the target prediction image, in which the background clutters can be highly suppressed. Subsequently, the residual image and the target prediction image are combined together adaptively so as to accurately and robustly locate the targets. Based on a set of comprehensive experiments, our algorithm has demonstrated better performance than other existing alternatives.