• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.473-479
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• 2021

The diagnostic criteria for diffuse thyroid disease are ambiguous and there are many errors due to the subjective diagnosis of experts. Also, studies on ultrasound imaging of thyroid nodules have been actively conducted, but studies on diffuse thyroid disease are insufficient. In this study, features were extracted by applying the GLCM algorithm to ultrasound images of normal and diffuse thyroid disease, and quantitative analysis was performed using the extracted feature values. Using the GLCM algorithm for thyroid ultrasound images of patients diagnosed at W hospital, 199 normal cases, 132 mild cases, and 99 moderate cases, a region of interest (50×50 pixel) was set for a total of 430 images, and Autocorrelation, Sum of squares, sum average, sum variance, cluster prominence, and energy were analyzed using six parameters. As a result, in autocorrelation, sum of squares, sum average, and sum variance four parameters, Normal, Mild, and Moderate were distinguished with a high recognition rate of over 90%. This study is valuable as a criterion for classifying the severity of diffuse thyroid disease in ultrasound images using the GLCM algorithm. By applying these parameters, it is expected that errors due to visual reading can be reduced in the diagnosis of thyroid disease and can be utilized as a secondary means of diagnosing diffuse thyroid disease.

• Journal of the Korean Society of Radiology
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• v.85 no.2
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• pp.297-307
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• 2024

Coronary artery disease (CAD) narrows vessel lumens at the sites of atherosclerosis, increasing the risk of myocardial ischemia or infarction. Early and accurate diagnosis of CAD is crucial to significantly improve prognosis and management. CT angiography (CTA) is a noninvasive imaging technique that enables assessment of vascular structure and stenosis with high resolution and contrast. Coronary CTA is useful in the diagnosis of CAD. Recently, the CAD-reporting and data system (CAD-RADS), a diagnostic classification system based on coronary CTA, has been developed to improve intervention efficacy in patients suspected of CAD. While the CADRAD is based on CTA, it includes borderline categories where interpreting the coronary artery status solely based on CTA findings may be challenging. This review introduces CTA findings that fall within the CAD-RADS categories that necessitate additional tests to decide to perform invasive coronary angiography and discusses appropriate management strategies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.507-515
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• 2015

This paper suggests 6 cases of TFA parameters algorithm(Mean, VA, RS, SKEW, UN, EN) to search for the detection of recognition rates regarding breast disease using CAD on ultrasound images. Of the patients who visited a university hospital in Busan city from August 2013 to January 2014, 90 cases of breast ultrasound images based on the findings in breast US and pathology were selected. $50{\times}50$ pixel size ROI was selected from the breast US images. After pre-processing histogram equalization of the acquired test images(negative, benign, malignancy), we calculated results of TFA algorithm using MATLAB. As a result, in the TFA parameters suggested, the disease recognition rates for negative and malignancy was as high as 100%, and negative and benign was approximately 83~96% for the Mean, SKEW, UN, and EN. Therefore, there is the possibility of auto diagnosis as a pre-processing step for a screening test on breast disease. A additional study of the suggested algorithm and the responsibility and reproducibility for various clinical cases will determine the practical CAD and it might be possible to apply this technique to range of ultrasound images.

• The korean journal of orthodontics
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• v.35 no.2 s.109
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• pp.91-105
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• 2005

For af accurate diagnosis and treatment planning of facial asymmetry, the use of 3-dimensional (3-D) image is indispensable. The purpose of this study was to get standard data for the 3-D analysis of facial asymmetry Computerized tomography (CT) was taken in the 60 normal occlusion individuals (30 male. 30 female) who did not have any apparent facial asymmetry. The acquired 2D CT DICOM data were input on a computer, and the reformatted 3-D images were created using a 3-D image software. Twenty three measurements were established in order to evaluate asymmetry; 15 ;omear measurements (6 for ramus length. 1 for condylar neck length, and 8 for mandibular body length) and 8 angular measurements (4 for gonial angle. 2 for frontal ramal inclination. and 2 for lateral ramal inclination) The right aid left difference of each measurement was calculated and analyzed. It is suggested that the right and left differences of the measurements obtained from the study could be used as references for the diagnosis of facial asymmetric patients.

• Annual Conference of KIPS
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• 2006.05a
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• pp.423-426
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• 2006

예방 의학에 대한 관심이 증대되고 있는 현대 생활에서 사상체질 진단을 통한 건강 유지는 누구나 쉽게 접근할 수 있는 방법 중에 하나이며, 이를 위해 사상의학(四象醫學)적 이론이 많이 사용되고 있다. 그러나, 사상의학에서 사상체질 진단 및 분류는 매우 중요한 과제로서 많은 학자들에 의해 연구되고 있으나 지금까지 객관적으로 인정된 방법이나 기술은 없다고 할 수 있다. 따라서 본 논문에서는 외형적 특징을 통한 사상 체질 분류를 연구하기 위한 목적으로 안면부의 형태학적인 특징을 도출하였다. 즉, 안면 영상에서 눈과 입을 추출하여 결과 영상과 사상체질 간의 상관성을 규명하기 위하여 안면 영상의 형태학적 분석을 이용한 사상체질의 판별을 시도하였다. 특히, 한방의 망진(望診) 방법에 근거하여 사상체질을 객관적으로 진단, 분류하기 위한 연구를 수행하였다. 최종적으로 실험에 의해 제안한 방법의 유용성을 입증하고자 한다.

• Annual Conference of KIPS
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• 2014.11a
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• pp.958-961
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• 2014

최근 영상 분석을 기반으로 한 서비스 어플리케이션의 공급량이 증가하는 추세이다. 특히, 피부 영상 분석 서비스의 경우 주목할 만한 이슈는 접근의 용이함과 편리성을 갖춘 서비스 어플리케이션의 개발이다. 본 논문에서는 사용자의 피부 상태 진단 서비스를 손쉽게 웹 상으로 제공받을 수 있는 어플리케이션 개발에 주안점을 둔다. 이를 위해 피부 현미경으로 촬영된 이미지에 이진화 및 질감 대비 향상, 노이즈 제거 등의 전처리 과정과 Watershed 알고리즘, 외곽선 검출 등의 과정을 거쳐 수치화된 데이터를 산출한다. 최종적으로 피부 주름, 거칠기, 유분, 톤, 민감성 정보를 검출하며 분석 결과를 사용자에게 보여준다. 분석된 피부 영상 정보를 통해 사용자는 쉽게 자신의 피부 상태를 진단 받을 수 있을 것으로 사료된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.124-126
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• 2021

In this study, fundus images were analyzed using an image processing algorithm for diagnosis of diabetic retinopathy, and specific areas such as hard exudate and retinal hemorrhage, which are characteristic of diabetic retinopathy disease using the bit plane technique, were extracted. We propose a system capable of automatic diagnosis by quantifying the characteristics of diabetic retinopathy based on the analyzed fundus image.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1181-1183
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• 2022

신생아 호흡곤란증후군(RDS, Respiratory Distress Syndrome)은 미숙아 사망의 주된 원인 중 하나이며, 이 질병은 빠른 진단과 치료가 필요하다. 소아의 x-ray 영상을 시각적으로 분석하여 RDS 의 판별을 하고 있으나, 이는 전문의의 주관적인 판단에 의지하기 때문에 상당한 시간적 비용과 인력이 소모된다. 이에 따라, 본 논문에서는 전문의의 진단을 보조하기 위해 심층 신경망을 활용한 소아 RDS/nonRDS 판별 방법을 제안한다. 소아 전신 X-ray 영상에 폐 영역 분할을 적용한 데이터 세트와 증강방법으로 추가한 데이터 세트를 구축하며, RDS 판별 성능을 높이기 위해 ImageNet 으로 사전학습된 DenseNet 판별 모델에 대해 구축된 데이터 세트로 추가 미세조정 학습을 수행한다. 추론 시 입력 X-ray 영상에 대해 MSRF-Net 으로 분할된 폐 영역을 얻고 이를 DenseNet 판별 모델에 적용하여 RDS 를 진단한다. 실험결과, 데이터 증강과 폐 영역을 분할을 적용한 판별 방법이 소아전신 X-ray 데이터 세트만을 사용하는 것과 비교하여 3.9%의 성능향상을 보였다.

• Investigative Magnetic Resonance Imaging
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• v.15 no.2
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• pp.154-159
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• 2011

Testicular epidermoid cyst is a rare benign tumor, accounting for 1-2% of all testicular tumors. It can be cured by organ preserving surgery, so accurate preoperative diagnosis is very important for preventing unneccessary and extensive orchiectomy. We experienced a case of an 18-year-old man who presented with a painless lump in his right testis. The testicular mass showed an onion ring sign on ultrasonography. Computed tomography images showed the mass as a low attenuating lesion with curvilinear calcification. On Magnetic resonance imaging (MRI), the mass appeared as high signal intensity with internal alternating low signal intensity patterns on T2-weighted images. The mass was displayed as having homogeneous high signal intensity on diffusion magnetic resonance imaging and showed lower apparent diffusion coefficient values than normal testis parenchyma, similar to intracranial epidermoid cysts. Testicular MRI with DWI and ADC map can help to more accurately diagnose testicular epidermoid cyst.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.1
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• pp.61-66
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• 2015

Chest X-ray images is the most common and widely used in clinical findings for a wide range of anatomical information about the prognosis of the disease in patients with cardiopulmonary rehabilitation. Many analysis algorithm was developed by a number of studies regarding the region segmentation and image analysis, there are specific differences due to the complexity and diversity of the image. In this paper, a diagnosis support system of the chest X-ray image based on image processing and analysis methods to detect the cardiopulmonary disease. The threshold value and morphological method was applied to segment the pulmonary region in a chest X-ray image. Anatomical measurements and texture analysis was performed on the segmented regions. The effectiveness of the proposed method is shown through experiments and comparison with diagnosis results by clinical experts to show that the proposed method can be used for decision support system.