• Journal of Yeungnam Medical Science
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• v.15 no.2
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• pp.306-315
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• 1998

MR findings in nine patients(three female, six male) with neuro-Behcet's disease were retrospectively analyzed. NeuroBehcet's disease was diagnosed on the basis of typical clinical symptoms. Involved site, pattern, signal intensity, and contrast enhancement pattern on MRI were evaluated. In addition, follow up MR imaging was performed in four patients. The midbrain(7/9), internal capsule(7/9), pons(6/9), thalamus(6/9), basal ganglia (5/9), middle cerebella peduncle(4/9), medulla oblongata(2/9), and subcortical white matter(2/9) are involved on MRI. The size of lesions was 1cm to 3cm and their margin was ill-defined and patchy. Inhomogeneous high signal intensity on the T2-weighted images and low signal intensity on T1-weighted images was seen respectively. In four of nine cases, there was focal enhancement. On follow up MR imaging, improvement or recurrance of the lesions was found. Also in two cases of follow up cases, there was artophy in brainstem and(or) middle cerebellar peduncles. In conclusion, MR imaging with systemic clinical symptoms is useful for diagnosing neuro-Behcet's disease.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.815-826
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• 2000

This study is for the segmentation and volume calculation of the white matter and gray matter from brain MRI. In general, the volume of white and gray matter is reduced by contraction of each components in the case of mental retardation which are Alzheimer's disease and Down's syndrome. As results, it is useful for diagnostic and early detection for various mental retardation through the tracing of variation for its volume from the brain MRI. But, until now, it was very difficult to calculate the partial volume of each components existing in some thickness, because MR image was represented by single gray value after scanning by MR scanner. Accordingly, new segmentation algorithm proposed in this paper is to calculate the partial volume of the white and gray matter existing in some thickness through the analysis of the blurred gray value, and is to determine the threshold for segmentation of white and gray matter, and is to calculate the volume of each segmented component. And finally, proposed algorithm was applied the models which was created manually, and then acquired results was compared with that of original model.

• Journal of the Korean Society of Radiology
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• v.13 no.2
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• pp.227-232
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• 2019

MRI examination for patients with metal objects has in poor image quality. Metallic implants can result in poor image because magnetic susceptibility causes signal loss and distortion and makes poor imaging, which is called magnetic susceptibility artifact or metal artifact. There are several approaches to reduce metal artifacts. In this study, we study the reduction of metal artifact by VAT and SEMAC techniques. A metal implant used for orthopedic surgery was attached to the phatom and the distortion caused by the artifact was measured under T1WI and T2WI protocols. Several techniques of VAT only and VAT and SEMAC for the reduction of metal artifact were compared. The metal artifact showed a reduction of at least 8% to a maximum of 26% in the VAT-SEMAC. The VAT-SEMAC technique can be applied to patients with orthopedic implants to improve image quality. If scan time and image quality are simultaneously considered in VAT-SEMAC technique, metal artifact will be reduced in clinical practice.

• Journal of radiological science and technology
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• v.42 no.5
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• pp.329-334
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• 2019

This study was purpose to quantitative evaluation of noise power spectrum(NPS) and studied the quantitative evaluation and characteristics of modulation transfer function(MTF) by obtain the optimal edge image by using Coil in magnetic resonance imaging(MRI) equipment through Fujita theory using edge method. The MRI equipment was used (Tim AVANTO 1.5T, Siemense healthcare system, Germany) and the head matrix coil were 12channels(elements) receive coil. The NPS results of showed the best value of 0.004 based on the T2 Nyquist frequency of $1.0mm^{-1}$, and the MTF results of showed that the T1 and T2 values were generally better than the T1 CE and T1 CE FC values. The characteristics of this study were to explain the characteristic method of image quality evaluation in general. To present the quantitative evaluation process and results in the evaluation of MRI image characteristics in radiology.

• Journal of the Korean Society of Radiology
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• v.81 no.4
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• pp.972-978
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• 2020

Fentanyl intoxication has occasionally been reported since fentanyl patches became available for medical use. Delayed post-hypoxic leukoencephalopathy is a complication of hypoxia. However, its neuropsychiatric symptoms can be delayed, and it can progress to leukoencephalopathy even after full recovery from coma due to acute intoxication. Herein, we report a case of fentanyl intoxication in a 65-year-old man who was presented to the hospital because of unconsciousness for 13 hours after using ten fentanyl patches simultaneously. Initial brain CT findings were non-specific. Twenty days later, delayed neuropathologic symptoms manifested, and MRI showed bilaterally symmetrical, heterogeneous, confluent high signal intensities on T2-weighted/fluid attenuated inversion recovery MRI in the cerebral white matter with diffusion restriction. This was followed by rapid exacerbation of neuropathological symptoms with diffuse severe cerebral atrophy over 1 year.

• Journal of KIISE
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• v.42 no.10
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• pp.1222-1230
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• 2015

Segmentation of the anterior cruciate ligament (ACL) in knee MRI remains a challenging task due to its inhomogeneous signal intensity and low contrast with surrounding soft tissues. In this paper, we propose a multi-atlas-based segmentation of the ACL in knee MRI with locally-aligned probabilistic atlas (PA) in an iterative graph cuts framework. First, a novel PA generation method is proposed with global and local multi-atlas alignment by means of rigid registration. Second, with the generated PA, segmentation of the ACL is performed by maximum-aposteriori (MAP) estimation and then by graph cuts. Third, refinement of ACL segmentation is performed by improving shape prior through mask-based PA generation and iterative graph cuts. Experiments were performed with a Dice similarity coefficients of 75.0%, an average surface distance of 1.7 pixels, and a root mean squared distance of 2.7 pixels, which increased accuracy by 12.8%, 22.7%, and 22.9%, respectively, from the graph cuts with patient-specific shape constraints.

• The Journal of the Korean bone and joint tumor society
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• v.16 no.1
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• pp.47-50
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• 2010

Fibrous dysplasia is a common benign disorder of bone in which normal bone marrow is replaced with fibro-osseous tissue. As PET/CT is increasingly used for the staging of different malignant disease, incidentally found fibrous dysplasia with increased FDG uptake may mimic metastasis. We report on a 46-year-old woman with fibrous dysplasia who underwent PET/CT because of suspected recurrence of breast cancer and was misdiagnosed as a bony metastasis with a focal FDG uptake on left proximal femur. This lesion was interpreted as fibrous dysplasia based on MRI in addition to the plain radiographs. We conclude that MRI in addition to radiography may help to differentiate fibrous dysplasia mimicking metastasis on PET/CT in the patients with malignancy.

• Journal of Korea Multimedia Society
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• v.15 no.9
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• pp.1075-1085
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• 2012

In clinical research using medical images, the image segmentation is one of the most important processes. Especially, the hippocampal atrophy is helpful for the clinical Alzheimer diagnosis as a specific marker of the progress of Alzheimer. In order to measure hippocampus volume exactly, segmentation of the hippocampus is essential. However, the hippocampus has some features like relatively low contrast, low signal-to-noise ratio, discreted boundary in MRI images, and these features make it difficult to segment hippocampus. To solve this problem, firstly, We selected region of interest from an experiment image, subtracted a original image from the negative image of the original image, enhanced contrast, and applied anisotropic diffusion filtering and gaussian filtering as preprocessing. Finally, We performed an image segmentation using two level set methods. Through a variety of approaches for the validation of proposed hippocampus segmentation method, We confirmed that our proposed method improved the rate and accuracy of the segmentation. Consequently, the proposed method is suitable for segmentation of the area which has similar features with the hippocampus. We believe that our method has great potential if successfully combined with other research findings.

• Journal of radiological science and technology
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• v.41 no.5
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• pp.451-456
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• 2018

During last a decade, there has been increased demand for 3D-printed medical devices with significant improvement of 3D-Printer (also known as Additive. Manufacturing AM), which depend upon human body features. Especially, demand for personalized medical material is highly growing with being super-aged society. In this study, 3D-reconstructed 3D mesh image from CT/MRI-images is demonstrated to analyse each patients' personalized anatomical features by using in house, then to be able to manufacture its counterpart. Developed software is distributed free of charge, letting various researcher identify biological feature for each areas.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.501-506
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• 2008

본 연구에서는 가상현실을 이용한 단서노출치료가 흡연자의 니코틴 갈망수준을 감소시키는지를 알아보았다. 이를 위하여 8명의 흡연청소년을 대상으로 6회기의 가상환경 단서노출치료를 실시하였다. 또한 단서노출치료 실시전과 후에 흡연관련 사진과 중립사진을 제시하는 동안 참가자들의 뇌를 기능성 자기공명영상장치(fMRI)로 측정하였다. 그 결과 단서노출실시 전에는 prefrontal cortex(PFC), Anterior cingulate gyrus(ACC) 영역을 비롯한 7개의 영역이 활성화되었고, 단서노출치료 후에는 right middle frontal gyrus, right uncus, left medial frontal gyrus, right fusiform gyrus, 그리고 right superior frontal gyrus 영역이 활성화되었다. 단서노출치료 전과 후의 비교에 서는 PFC가 관찰되었다. 본 연구의 결과로 흡연자의 흡연 갈망은 감소되었으며, 가상현실단서노출치료는 흡연자들 뿐 아니라 여러 물질의존자들의 치료에 유용한 방법이 될 것이라는 것을 시사한다.