• Korean Journal of Digital Imaging in Medicine
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• v.16 no.1
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• pp.7-11
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• 2014

The body to achieve an interaction that are connected to each other. Foot of which plays an important role in motor activity. Insole that has been recently used, have a dynamic functional elements. In particular, support of Arch plays a very important role in terms of a motor function of the human body as a whole. It is possible to predict the proper support Arch with insole, the overall structure of the body there can affect the balance. In this study, by applying the insole which supports the Longitudinal arch and Transverse arch, you are trying to assess the interaction of balance and the body's ability. To target the 20 there is no problem in the sense of balance, college student, and changes were observed by measuring the Center of Position area and distance through the Biorescue device worn before and after led by Arch support. As a result, I showed improved results significantly discount rate after wearing in the Center of Position area and distance to assess the balance ability. Therefore, the correction insole function is to support the Longitudinal arch and Transverse arch to an important role in the foot. It may be that it has a functional element for improving the balance of the function of preventing collapse of the arch during walking, to disperse the weight of the entire foot, us reduce fatigue in the end.

• Korean Journal of Applied Biomechanics
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• v.24 no.4
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• pp.399-415
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• 2014

The aim of this study was to investigate the effect of resistance training with and without whole-body vibration(WBV) on the biomechanical properties of the plantarflexor in the elderly women (>60 yrs., n=35). Thirty-five volunteers were randomly assigned to a resistance training with WBV group (RVT, n=14), a resistance training without WBV (RT, n=11), and a non-training control group (CON, n=10). The RVT and the RT groups participated in the training sessions three times a week for 8 weeks, followed by a 4-week detraining period. The CON group was instructed to refrain from any type of resistance training. To assess strength and activation of the plantarflexor muscles, maximum isometric ankle plantarflexion torque and muscle activation of the triceps surae muscles were measured using dynamometry, twitch interpolation technique and electromyography at four different ankle joint angles. Also, the lower extremity function was assessed by vertical jumping. The measurements were performed prior to, 2 and 8 weeks after the training and after a 4-week detraining period. Following the 8-week training sessions, an increase in the isometric plantarflexion strength was found to be greater for the RVT compared with the RT group (p<.05). Muscle inhibition was significantly decreased after training than before training only for the RVT (p<.05). Following the detraining period, a decrease in isometric plantarflexors strength and a increases in muscle inhibition were significantly less in the RVT compared with the RT group. In conclusion, the exercise with WBV is a feasible training modality for the elderly and seems to have a boosting effect when used with conventional resistance training.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1224-1232
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• 2022

Whole body bone scan is the most frequently performed nuclear medicine imaging to evaluate bone metastasis in cancer patients. We evaluated the performance of a VGG16-based transfer learning classifier for bone scan images in which metastatic bone lesion was present. A total of 1,000 bone scans in 1,000 cancer patients (500 patients with bone metastasis, 500 patients without bone metastasis) were evaluated. Bone scans were labeled with abnormal/normal for bone metastasis using medical reports and image review. Subsequently, gradient-weighted class activation maps (Grad-CAMs) were generated for explainable AI. The proposed model showed AUROC 0.96 and F1-Score 0.90, indicating that it outperforms to VGG16, ResNet50, Xception, DenseNet121 and InceptionV3. Grad-CAM visualized that the proposed model focuses on hot uptakes, which are indicating active bone lesions, for classification of whole body bone scan images with bone metastases.

• Nuclear Medicine and Molecular Imaging
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• v.42 no.1
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• pp.70-73
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• 2008

A 65 year-old man with hepatocellulcar carcinoma (HCC) admitted to treat left lower leg swelling and pus discharge suspecting osteomyelitis. MRI of his lower leg revealed the bone metastasis. Whole body FDG PET/CT additionally detected left shoulder and right ilium metastasis. Hematemesis suddenly developed in this patient after 3 weeks. Metastasis of right tonsil was histologically proven. When we reviewed his FDG PET/CT, there was asymmetric mild hypermetabolism in the right tonsil. When focal hypermetabolism is shown in the organ physiologically taking glucose up such as tonsil, we should cautiously assess whole body PET/CT in the examination of distant metastasis. We present a patient with multiple distant metastasis including tonsil from HCC showing increased FDG uptake with the literature review.

• Journal of Physiology & Pathology in Korean Medicine
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• v.16 no.5
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• pp.873-880
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• 2002

We study on the significance and application of the whole body form diagnosis. The results were as follows; The general form diagnosis is the method to observe the individual physiology and pathology. The phase of thinking, the current and activity of KI, the pattern of general form diagnosis have organic relations with the symptoms. The general form diagnosis is made up the principle of the imaging phase, therefore it must make synthetic union the differentiation of syndromes. The general form diagnosis of NAE GYEONG shows the typical phases and it is divided with the sight of YIN YANG and Five-Element. The general form diagnosis of SEOP GAE is practiced the theory of constitution's demonstration before the understanding of symptoms. Then JANG NAM tried the type of constitution's demonstration. The general form diagnosis of DONG MU becomes the diagnostic root of constitution's demonstration in four type constitution theory.

• Journal of Korea Multimedia Society
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• v.22 no.12
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• pp.1376-1384
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• 2019

The cosmetic and behavioral aspects of aging have become increasingly evident over the years. Physical aging in people can easily be observed on their face, posture, voice, and gait. In contrast, bone aging only becomes apparent once significant bone degeneration manifests through degenerative bone diseases. Therefore, a more accurate and timely assessment of bone aging is needed so that the determinants and its mechanisms can be more effectively identified and ultimately optimized. This study proposed a deep learning approach to assess the bone age of an adult using whole-body bone scintigraphy. The proposed approach uses multiple inputs deep neural network architectures using a loss function, called mean-variance loss. The data set was collected from Chonnam National University Hwasun Hospital. The experiment results show the effectiveness of the proposed method with a mean absolute error of 3.40 years.

• The Korean Journal of Nuclear Medicine
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• v.38 no.3
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• pp.272-273
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• 2004

We experienced a case with meningioma showing false positive I-131 uptake. A 55-years old female patient underwent high dose (150 mCi) radioactive iodine therapy to ablate remnant tissue after total thyroidectomy for papillary thyroid cancer. in addition to intense tracer uptake in thyroid bed, there was mild but focal abnormal uptake in left frontal lobe of the brain on post-therapy I-131 whole body scan. Subsequent brain MR imaging showed single mass lesion in left frontal lobe and the mass was resected under the impression of brain metastasis of thyroid carcinoma. Pathologic report confirmed meningioma from the surgical specimen.

• Smart Media Journal
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• v.10 no.2
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• pp.22-29
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• 2021

In the past decade, deep learning has been applied to various medical image analysis tasks. Skeletal bone age estimation is clinically important as it can help prevent age-related illness and pave the way for new anti-aging therapies. Recent research has applied deep learning techniques to the task of bone age assessment and achieved positive results. In this paper, we propose a bone age prediction method using a deep convolutional neural network. Specifically, we first train a classification model that automatically localizes the most discriminative region of an image and crops it from the original image. The regions of interest are then used as input for a regression model to estimate the age of the patient. The experiments are conducted on a whole-body scintigraphy dataset that was collected by Chonnam National University Hwasun Hospital. The experimental results illustrate the potential of our proposed method, which has a mean absolute error of 3.35 years. Our proposed framework can be used as a robust supporting tool for clinicians to prevent age-related diseases.

• Progress in Superconductivity and Cryogenics
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• v.25 no.4
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• pp.75-80
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• 2023

Rare earth barium copper oxide (REBCO) materials have shown the possibility of high-temperature superconductor (HTS) magnetic resonance imaging (MRI) magnets due to their elevated transition temperature. While numerous MRI magnet designs have emerged, there is a growing emphasis on estimating the cost before manufacturing. In this paper, we propose two designs of REBCO whole-body MRI magnets: (1) 1.5 T and (2) 3.0 T, the standard center field choices for hospital use, and compare their costs based on conductor usage. The basis topology of the design method is based on discretized solenoids to enhance field homogeneity. Magnetic stress calculation is done to further prove the mechanical feasibility of their construction. Multi-width winding technique and outer notch structure are used to improve critical current characteristic. We apply consistent constraints for current margins, sizes, and field homogeneities to ensure an equal cost comparison. A graph is plotted to show the cost increase with magnetic flux growth. Additionally, we compare our designs to two additional MRI magnet designs from other publications with respect to the cost and magnetic flux, and present the linear relationship between them.

• The Korean Journal of Nuclear Medicine
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• v.33 no.1
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• pp.65-75
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• 1999

Purpose: The aim of this study is to demonstrate the feasibility of 2-[fluorine-18] fluoro-2-deoxy-D-glucose (F-18-FDG) whole body scan (FDG W/B Scan) using dual-head gamma camera equipped with ultra high energy collimator in patients with various cancers, and compare the results with those of coincidence imaging. Materials and Methods: Phantom studies of planar imaging with ultra high energy and coincidence tomography (FDG CoDe PET) were performed. Fourteen patients with known or suspected malignancy were examined. F-18-FDG whole body scan was performed using dual-head gamma camera with high energy (511 keV) collimators and regional FDG CoDe PET immediately followed it Radiological, clinical follow up and histologic results were correlated with F-18-FDG findings. Results: Planar phantom study showed 13.1 mm spatial resolution at 10 cm with a sensitivity of 2638 cpm/MBq/ml. In coincidence PET, spatial resolution was 7.49 mm and sensitivity was 5351 cpm/MBq/ml. Eight out of 14 patients showed hypermetabolic sites in primary or metastatic tumors in FDG CoDe PET. The lesions showing no hypermetabolic uptake of FDG in both methods were all less than 1 cm except one lesion of 2 cm sized metastatic lymph node. The metastatic lymph nodes of positive FDG uptake were more than 1.5 cm in size or conglomerated lesions of lymph nodes less than 1cm in size. FDG W/B scan showed similar results but had additional false positive and false negative cases. FDG W/B scan could not visualize liver metastasis in one case that showed multiple metastatic sites in FDG CoDe PET. Conclusion: FDG W/B scan with specially designed collimators depicted some cancers and their metastatic sites, although it had a limitation in image quality compared to that of FDG CoDe PET. This study suggests that F-18-FDG positron imaging using dual-head gamma camera is feasible in oncology and helpful if it should be more available by regional distribution of FDG.