• Title/Summary/Keyword: 이미지 피부진단

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Evaluation of Skin Texture and Wrinkle Using Optical Coherence Tomography (Pilot Study) (피부결 및 주름 평가에 있어 광학단층영상술(Optical Coherence Tomography, OCT) 활용 연구(Pilot Study))

  • Kim, Seunghun;Ahn, Yujin;Sanzhar, Askaruly;Kim, Pilun;Jung, Woonggyu;Lee, Haekwang
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.43 no.3
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    • pp.247-254
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    • 2017
  • Optical Coherence Tomography (OCT) is a non-invasive imaging method that utilizes the optical scattering and interference for visualizing the surface as well as cross-sectional structures of tissue. OCT has been used for diagnosing diseases in early stage in various medical fields, but an application in cosmetics is still at early stage. In this study, OCT was adopted to evaluate skin texture and wrinkle. Results showed similar patterns of evaluation with PRIMOS in the assessment using replica. In addition, OCT produced smaller errors at different angles compared to the PRIMOS in the assessment using 3-dimensional models of wrinkles. The resolution of the image was also high enough to differentiate the images of before and after the application of makeup products. Possible use of OCT in the evaluation of fine wrinkle assessment was studied in this research. Further development of methods is necessary to provide more evidences of the effectiveness.

Development of an algorithm for Detecting Symptom level in patients with Scleroderma

  • Jeong, Jin-Hyeong;Lee, Ki-Young;Kim, Min-yeong;Kim, Nam-Sun;Lee, Sang-Sik
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.5
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    • pp.367-372
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    • 2015
  • In this study, locality of scleroderma was detected. Diagnostic method is difficult for scleroderma (skin curing; Scleroderma), and it is done by comparing the images of the normal subjects to the scleroderma patients, after performing monochrome processing. The saturation, brightness, and contrast are adjusted, and they were converted by using the process of Well Filter. As a result, the images were able to be used to clearly distinguish the symptoms of scleroderma. In addition, in a video of a healthy person, the line of sight of the observation given the image of scleroderma patients above sea level of height as $0^{\circ}$ is to implement the closing process to the rear Well Filter even only in so that the horizontal plane, and out at intervals of graph the amplitude difference of the video have I asked. The diagnostic criteria were determined for the healthy subjects and the scleroderma patients.

Development of Intelligent Severity of Atopic Dermatitis Diagnosis Model using Convolutional Neural Network (합성곱 신경망(Convolutional Neural Network)을 활용한 지능형 아토피피부염 중증도 진단 모델 개발)

  • Yoon, Jae-Woong;Chun, Jae-Heon;Bang, Chul-Hwan;Park, Young-Min;Kim, Young-Joo;Oh, Sung-Min;Jung, Joon-Ho;Lee, Suk-Jun;Lee, Ji-Hyun
    • Management & Information Systems Review
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    • v.36 no.4
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    • pp.33-51
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    • 2017
  • With the advent of 'The Forth Industrial Revolution' and the growing demand for quality of life due to economic growth, needs for the quality of medical services are increasing. Artificial intelligence has been introduced in the medical field, but it is rarely used in chronic skin diseases that directly affect the quality of life. Also, atopic dermatitis, a representative disease among chronic skin diseases, has a disadvantage in that it is difficult to make an objective diagnosis of the severity of lesions. The aim of this study is to establish an intelligent severity recognition model of atopic dermatitis for improving the quality of patient's life. For this, the following steps were performed. First, image data of patients with atopic dermatitis were collected from the Catholic University of Korea Seoul Saint Mary's Hospital. Refinement and labeling were performed on the collected image data to obtain training and verification data that suitable for the objective intelligent atopic dermatitis severity recognition model. Second, learning and verification of various CNN algorithms are performed to select an image recognition algorithm that suitable for the objective intelligent atopic dermatitis severity recognition model. Experimental results showed that 'ResNet V1 101' and 'ResNet V2 50' were measured the highest performance with Erythema and Excoriation over 90% accuracy, and 'VGG-NET' was measured 89% accuracy lower than the two lesions due to lack of training data. The proposed methodology demonstrates that the image recognition algorithm has high performance not only in the field of object recognition but also in the medical field requiring expert knowledge. In addition, this study is expected to be highly applicable in the field of atopic dermatitis due to it uses image data of actual atopic dermatitis patients.

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A New Method For Measuring Acupoint Pigmentation After Cupping Using Cross Polarization (교차편광 촬영술(Cross Polarization Photographic Technique)를 이용한 부항요법의 배수혈 피부 색소 침착 변화 측정 평가)

  • Kim, Soo-Byeong;Jung, Byungjo;Shin, Tae-Min;Lee, Yong-Heum
    • Korean Journal of Acupuncture
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    • v.30 no.4
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    • pp.252-263
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    • 2013
  • Objectives : Skin color deformation by cupping has been widely used as a diagnostic parameter in Traditional Korean Medicine(TKM). Skin color deformation such as ecchymoses and purpura is induced by local vacuum in a suction cup. Since existing studies have relied on a visual diagnostic method, there is a need to use the quantitative measurement method. Methods : We conducted an analysis of cross-polarization photographic images to assess the changes in skin color deformation. The skin color variation was analyzed using $L^*a^*b^*$ space and the skin erythema index(E.I.). The meridian theory in TKM indicates that the condition of primary internal organs is closely related to the skin color deformation at special acupoints. Before conducting these studies, it is necessary to evaluate whether or not skin color deformation is influenced by muscle condition. Hence, we applied cupping at BL13, BL15, BL18, BL20 and BL23 at Bladder Meridian(BL) and measured blood lactate at every acupoint. Results : We confirmed the high system measurement accuracy, and observed the diverse skin color deformations. Moreover, we confirmed that the $L^*$, $a^*$ and E.I. had not changed after 40 minutes(p>0.05). The distribution of blood lactate levels at each part was observed differently. Blood lactate level and skin color deformation at each part was independent of each other. Conclusions : The negative pressure produced by the suction cup induces a reduction in the volumetric fraction of melanosomes and subsequent reduction in epidermal thickness. The relationship between variations of tissue and skin properties and skin color deformation degree must be investigated prior to considering the relationship between internal organ dysfunction and skin color deformation.

Use of Digital Infrared Thermography on Experimental Spinal Cord Compression in Dogs (개에서 실험적으로 유발한 척수압박에 대한 적외선 체열촬영술의 적용)

  • Kim Wan-Tae;Kim Min-Su;Kim Sun Young;Seo Kang-Moon;Nam Tchi-Chou
    • Journal of Veterinary Clinics
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    • v.22 no.4
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    • pp.302-308
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    • 2005
  • This study was performed to examine the absolute skin temperature and temperature difference $({\Delta}T)$ between the left and the right, the upper and the lower parts on the back of dog and to investigate the clinical usefulness of infrared thermography as diagnostic or prognostic aid on experimental spinal cord compression by using Digital Infrared Imaging System. In normal dogs, symmetrical and contouring patterns were observed in thermogram. The skin temperature difference was not significant between the left and the right, the upper and the lower parts on the back. In spinal cord compressed dog, there was symmetrical temperature reduction pattern around lesion. Patterns of ${\Delta}T$ between thoracic and lumbar portions were remarkable and showed the tendency to return to normal after 4 weeks of operation. It is considered that infrared thermography is a useful diagnostic and prognostic aid for spinal cord injury in dogs.

Assessment of the Breast-Firmming Effects of a Cosmetic Preparation with Moir$\acute{e}$ Tophography in Combination with 2D and 3D Digital Image Analyses (2D 및 3D 디지털 이미지 분석과 함께 Moir$\acute{e}$ Tophography 분석을 이용한 화장품의 가슴 탄력개선 효과 평가)

  • Seo, Young Kyoung;Yoo, Mi Ae;Ryu, Ja Hyun;Kim, So Jeong;Cho, Seong A;Nam, Gae Won;Cho, Jun-Cheol;Boo, Yong Chool;Koh, Jae-Sook
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.38 no.4
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    • pp.289-296
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    • 2012
  • Cosmetic products which might augment the breast have attracted an attention and objective methods for the evaluation of such products are in high demand. This study was conducted to establish a method for assessing the breast-firmming effects of cosmetics. This study included a total of 30 healthy Korean females aged 20-50 years. A cosmetic product was applied by massaging it onto the breast twice a day for 8 weeks. Measurement of breast girth with a tape ruler, 2D and 3D digital image analyses, and Moir$\acute{e}$ topographic analysis were performed before and following the treatment. The application of a cosmetic onto the breast significantly increased breast girth at 2, 4 and 8 weeks without a significant change in underbreast girth, implicating the breast might be augmented. The 2D image analysis indicated that the arc length of the breast which represents the surface distance from the nipple to the periphery of the under-breast was significantly increased at 2, 4 and 8 weeks. The height of the breast which represents the perpendicular distance from the nipple to the periphery of the under-breast was also increased significantly at 4 and 8 weeks. The 3D image analysis of body surface also demonstrated a significant increase of breast volume at 2, 4 and 8 weeks. Moir$\acute{e}$ topographic analysis indicated that breast sagging was significantly reduced at 2, 4 and 8 weeks. The results of this study suggest that Moir$\acute{e}$ topography in combination with 2D and 3D digital image analyses may be useful for evaluating the breast-augmenting effects of cosmetics.