• Journal of Korean Neurosurgical Society
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• v.41 no.5
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• pp.330-332
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• 2007

Intracranial lipomas are rare, and most of these tumors are found in the region of the corpus callosum, followed by cerebellopontine angle. We present a case of a intracranial lipoma in 30-year-old man. Brain computed tomography [CT] scan and magnetic resonance images [MRI] showed a mass in the medulla oblongata extending to foramen magnum. The histopathologically, diagnosis of lipoma was confirmed. Although there were several cases of cervical intraspinal lipoma extending into posterior cranial fossa, there have been no previous reports of a lipoma arising from the medulla oblongata that extended into the foramen magnum. We describe a rare case of intradural subpial lipoma in the medulla oblongata with a review of the literature.

• Journal of Korean Neurosurgical Society
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• v.45 no.3
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• pp.188-191
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• 2009

The presence of distant metastases from differentiated thyroid carcinoma decreases the 10-year survival rates of patients by 50%. This is a report of a 61-year-old female with follicular thyroid carcinoma who presented initially with low back pain. 2-deoxy-2-[18F] fluoro-D-glucose whole-body positron emission tomography/computed tomography (PET/CT) demonstrated a hypointensity lesion in the left thyroid gland with malignant uptake in L1 vertebra and magnetic resonance images revealed paravertebral and epidural extension of mass in L1 vertebra. After thyroidectomy, histopathological study showed a follicular carcinoma. We performed L1 total en bloc spondylectomy with expandable cage for long-term local control. The technical details of total en bloc spondylectomy in follicular carcinoma are described herein.

• Imaging Science in Dentistry
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• v.34 no.2
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• pp.111-116
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• 2004

Rhabdomyosarcoma, when it occurs in the head and neck, is primarily found in children. Alveolar rhabdomyosarcoma is rarely seen in the oral lesion, comparing to the embryonal and the pleomorphic variants. This is a report of a case of alveolar rhabdomyosarcoma in the mandible in a ten-year old girl who complained of a non-painful swelling on the right cheek. The right lower 1st molar was mobile. Her radiographs revealed an extensive radiolucency with somewhat irregular border on the right mandibular ramus. The right mandibular 1st and 2nd molars lost their lamina dura and were floating. CT images revealed smooth-outlined soft tissue mass occupying the pterygomandibular space, the infratemporal space, and the masseteric muscle with thinning and perforation of the right mandibular angle and ramus. Histopathological and immunohistochemical findings established the final diagnosis of alveolar rhabdomyosarcoma.

• Tuberculosis and Respiratory Diseases
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• v.59 no.6
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• pp.591-599
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• 2005

Asthma is the most common disease of the lungs, and one that poses specific challenges for the physicians including radiologist. This article reviews for the clinical diagnosis, Radiologic features, and differential diagnosis of asthma, and outlines the radiologic features of the complications of asthma. Bronchial wall thickening and hyperinflation characterize the chest radiograph of the patients with asthma. On CT scan one may see airway wall thickening, thickened centrilobular structures, and focal or diffuse hyperlucency. Apparent bronchial dilatation may be seen, but the diagnosis of bronchiectasis should be made with caution. Quantification of changes in the airway wall and lung parenchyma may be valuable in understanding the mechanisms of asthma and in evaluating the effects of treatment. The challenge for the physician evaluating the images of a patient with asthma is to find complications.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.999-1000
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• 2008

Image Registration is used many works in image processing widely. But It is difficult to find the accuracy informations such as translation, rotation, and scaling between images. This paper proposes an algorithm that Fourier based image registration using the pyramid edge detection and line fitting. It can be estimated the informations by each sub-pixels. The proposed algorithm can be used for image registrations which high efficiency is required such as GIS, or MRI, CT, image mosaicing, weather forecasting, etc.

• Investigative Magnetic Resonance Imaging
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• v.21 no.4
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• pp.252-258
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• 2017

Primary mesenteric liposarcoma is rare. It is difficult to make an accurate preoperative diagnosis of the myxoid type of liposarcoma by using imaging such as ultrasound or computed tomography (CT) due to the very small amount of fat that is located in the tumor. We report a case of primary myxoid liposarcoma of the mesentery which was difficult to differentiate from other solid mesenteric tumors with a myxoid component such as low grade fibromyxoid sarcoma, myxoid leiomyosarcoma or myxoma. Use of chemical shift magnetic resonance (MR) imaging to detect small fat components and its cystic appearance with solid components on the MR images can be useful to differentiate myxoid liposarcoma from the other mesenteric tumors with a myxoid component.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1320-1323
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• 2003

In this study, the micro-FE analyses were carried out for the plastic behaviour of vertebral trabecular bones. Many researchers have investigated the elastic behaviour of trabecular bones by using the micro-finite element models based on the micro-CT images. However, there was no micro-FE model to account for the plastic behaviour of trabecular bones. Ulrich et at. reported that best results at coarser model were obtained when using 'compensated hexahedron models' with the same relative density. This study indicates that, for the elastic and plastic analysis, 'the compensated hexahedron FE model' is likely to be limited to about 63$\mu\textrm{m}$ image resolution in the vertebra trabecular bones.

• The Korean Journal of Nuclear Medicine
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• v.36 no.2
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• pp.140-142
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• 2002

A 67-year-old woman who had undergone anterior resection for a moderately differentiated adenocarcinoma of the rectum and wedge resection for liver metastasis presented with hematogenous lung metastasis. Metastatic pulmonary nodules in both lung fields were shown on plain chest radiograph and CT. Ga-67 SPECT images revealed accumulation of radioactivity corresponding to the pulmonary nodules. The authors present an unusual case of accumulation of Ga-67 in metastatic pulmonary nodules in a patient with a moderately differentiated adenocarcinoma of the rectum.

• Imaging Science in Dentistry
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• v.37 no.3
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• pp.171-180
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• 2007

The role of radiographic imaging in determining the size, numbers and the position of implants is very important. To perform the implant procedure, the dentist needs to evaluate the bone pathology and bone density, and to know the precise height, width, and contour of the alveolar process, as well as its relationship to the maxillary sinus and mandibular canal. The author analyzed 3 implant cases for treatment planning with the cone beam CT. All axial, panoramic, serial and buccolingual-sectioned images of 3 cases with stent including vertical marker were taken by using Mercuray (Hitachi, Japan). When the curved line drawn intentionally did not include dot image of a vertical marker on the axial image of CBCT, the image of the vertical marker was deformed on its buccolingually sectioned image. There was wide discrepancy in inclination between the alveolar bone and tooth on buccolingually sectioned image.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.216-226
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• 2020

In this paper, a stacked convolutional autoencoder model is proposed in order to classify Alzheimer's disease with high accuracy in PET/CT images. The proposed model makes use of the latent space representation - which is also called the bottleneck, of the encoder-decoder architecture: The input image is sent through the pipeline and the encoder part, using stacked convolutional filters, extracts the most useful information. This information is in the bottleneck, which then uses Softmax classification operation to classify between Alzheimer's disease, Mild Cognitive Impairment, and Normal Control. Using the data from Dong-A University, the model performs classification in detecting Alzheimer's disease up to 98.54% accuracy.