• Clinics in Shoulder and Elbow
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• 제14권2호
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• pp.236-241
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• 2011

목적: 이학적 검사나 단순 방사선, 정적 초음파, 자기공명영상 등의 검사를 통해 진단하기 어려운 상완 이두건 장두 아탈구의 진단 시 동적 초음파의 유용성에 대해 보고하고자 한다. 대상 및 방법: 동적 초음파를 이용해 상완 이두건 장두 아탈구로 진단된 2명의 남자환자에 대해 관절경을 이용한 연부조직 상완 이두건 장두 고정술을 시행하고 증상 및 기능적 회복 정도를 평가 하였다. 결과: 동적 초음파를 이용해 상완 이두건 아탈구를 쉽게 진단할 수 있었으며 수술 후 증상 및 기능적 평가에서도 향상을 나타내었다. 수술 후 특이한 합병증은 발생하지 않았다. 결론: 진단이 어려운 상완 이두건 장두 아탈구의 진단 시 동적 초음파의 이용은 유용한 방법으로 판단된다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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• pp.111-114
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• 2004

Management of human knowledge is an interesting concept that has attracted the attention of philosophers for thousands of years. Artificial intelligence and knowledge engineering has provided some degree of rigor to the study of knowledge systems and expert systems(ES) re able to use knowledge to solve the problems and answer questions. Therefore, the process of conceptualization and inference of knowledge are fundamental problem solving activities and hence, are essential activities for solving the problem of software ES construction Especially, the access to relevant, up-to-date and reliable knowledge is very important task in the daily work of physicians and nurses. In this study, we propose the conceptualization and inference mechanism for implicit knowledge management in medical diagnosis area. To this purpose, we combined the dynamic knowledge map(KM) and relational database(RDB) into a dynamic knowledge map(DKM). A graphical user-interface of DKM allows the conceptualization of the implicit knowledge of medical experts. After the conceptualization of implicit knowledge, we developed an RDB-based inference mechanism and prototype software ES to access and retrieve the implicit knowledge stored in RDB. Our proposed system allows the fast comfortable access to relevant knowledge fitting to the demands of the current task.

• Imaging Science in Dentistry
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• 제36권4호
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• pp.199-206
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• 2006

Purpose: The purpose of this study was to evaluate comparison of static MRI and pseudo-dynamic (cine) MRI in temporomandibular joint (TMJ) disorder patients. Materials and Methods: In this investigation, 33 patients with TMJ disorders were examined using both conventional static MRI and pseudo-dynamic MRI. Multiple spoiled gradient recalled acquisition in the steady state (SPGR) images were obtained when mouth opened and closed. Proton density weighted images were obtained at the closed and open mouth position in static MRI. Two oral and maxillofacial radiologists evaluated location of the articular disk, movement of condyle and bony change respectively and the posterior boundary of articular disk was obtained. Results: No statistically significant difference was found in the observation of articular disk position, mandibular condylar movement and posterior boundary of articular disk using static MRI and pseudo-dynamic MRI (P<0.05). Statistically significant difference was noted in bony changes of condyle using static MRI and pseudo-dynamic MRI (P<0.05). Conclusion: This study showed that pseudo-dynamic MRI didn't make a difference in diagnosing internal derangement of TMJ in comparison with static MRI. But it was considered as an additional method to be supplemented in observing bony change.

• 대한정형외과 초음파학회지
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• 제3권2호
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• pp.79-83
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• 2010

근골격계 초음파는 오랜 기간 동안 다양한 정형외과적 질환의 진단을 위해 유용하고 간단한 방법으로 사용되어 왔다. 일반적으로 MRI가 해부학적 구조나 변이를 발견하기 위한 가장 좋은 방법으로 알려져 있으나 건이나 신경의 탈구 또는 아탈구 등과 같은 동적인 조건의 경우에는 초음파, 특히 동적 초음파의 유용성에는 미치지 못하는 것으로 알려져 있다. 본원에서는 주관 증후군 유사 증상을 보인 환자에서 동적 초음파 검사를 이용하여 척골 신경 아탈구를 확인한 후, 척골 신경 이전술을 시행하여 만족스러운 결과를 보여, 주관 증후군과 유사한 증상을 유발하는 척골 신경 아탈구 환자에게 동적 초음파의 이용은 매우 유용한 방법으로 생각하여 그 증례를 보고하고자 한다.

• Asian Pacific Journal of Cancer Prevention
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• 제17권11호
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• pp.4805-4811
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• 2016

Background: Hepatocellular carcinomas (HCCs) less than 2 cm in diameter generally demonstrate a good outcome after curative therapy. However, the diagnosis of small HCC can be problematic and requires one or more dynamic imaging modalities. This study aimed to compare the sensitivity and agreement between CT and MRI for the diagnosis of small HCCs. Methods: CT and/or MRI scans of HCCs (1-2 cm) diagnosed by histopathology or typical vascular pattern according to the 2005 AASLD criteria were blindly reviewed by an abdominal radiologist. The reports were defined as conclusive/typical when arterial enhancement and washout during the portal/delayed phases were observed and as inconclusive when typical vascular patterns were not observed. The sensitivity and Cohen's kappa (k) for agreement were calculated. Results: In 27 patients, 27 HCC nodules (1-2 cm) were included. Diagnosis with a single-imaging modality (CT or MRI) was 81 % versus 48 % (p = 0.01). The CT sensitivity was significantly higher than MRI (78 % versus 52 %, p = 0.04). Among 27 nodules that underwent both CT and MRI, a discordance in typical enhancement patterns was found (k = 0.319, p = 0.05). In cases with inconclusive CT results, MRI gave only an additional 3.7 % sensitivity to reach a diagnosis. In contrast, further CT imaging following inconclusive MRI results gave an additional 29.6 % sensitivity.Conclusions: A single typical imaging modality is sufficient to diagnose small HCCs. Compared with MRI, multiphasic CT has a higher sensitivity. The limitations of MRI could be explained by the greater need for patient cooperation and the types of MRI contrast agent.

• 비파괴검사학회지
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• 제34권4호
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• pp.305-310
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• 2014

본 고에서는 미세 이물질이 삽입된 볼베어링에 대하여 비파괴평가를 제안하였다. 비파괴평가 연구로서 동적인 하중조건하 회전체의 동작에 따른 고장 진단을 위해 비접촉식 정량화된 적외선 열화상 기법을 적용하였다. 이로부터 볼베어링에 대한 적정 체결조건을 설정하였고 고장 상태감시에 대한 수동형 열화상시험을 수행하였다. 본 연구로부터, 적외선 열화상 시험은 조기의 결함 진단을 평가하기 위해 정상 및 이물질이 삽입된 시편들로부터의 온도 프로파일링을 비교, 분석되었다. 연구의 비파괴검사 평가의 결과로써, 고장에 이르는 이상단계에 따른 볼베어링의 온도 특성이 정량적으로 분석되었다.

• 비파괴검사학회지
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• 제32권1호
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• pp.7-11
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• 2012

기존 진단법과 달리 동적 하중조건하 회전체의 마모 단계에 따른 결함 진단을 위해 비접촉, 비파괴의 적외선 열화상 기법이 제안된다. 본 연구에서는 시험시편인 단열 깊은 홈의 볼 베어링을 설정하여 기존의 스펙트럼 분석과 같은 고장탐지법에 대한 대안으로써 수동형 열화상시험이 수행되었다. 본 연구로부터, 적외선 열화상시험은 신뢰성을 평가하기 위해 기존 진동 스펙트럼 분석시험과 비교, 분석되었다. 연구의 비파괴시험의 결과로써, 마모 단계에 따른 볼 베어링의 온도 특성이 분석되었다.

• Journal of Electrical Engineering and Technology
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• 제8권4호
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• pp.752-759
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• 2013

This paper proposes a method for fault diagnosis and fault-tolerant control of DC-link voltage sensor for two-stage three-phase grid-connected PV inverters. Generally, the front-end DC-DC boost converter tracks the maximum power point (MPP) of PV array and the rear-end DC-AC inverter is used to generate a sinusoidal output current and keep the DC-link voltage constant. In this system, a sensor is essential for power conversion. A sensor fault is detected when there is an error between the sensed and estimated values, which are obtained from a DC-link voltage sensorless algorithm. Fault-tolerant control is achieved by using the estimated values. A deadbeat current controller is used to meet the dynamic characteristic of the proposed algorithm. The proposed algorithm is validated by simulation and experiment results.

• Investigative Magnetic Resonance Imaging
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• 제22권1호
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• pp.61-64
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• 2018

Pancreatic lymphoepithelial cysts (LECs) are rare pancreatic cysts with squamous epithelial lining surrounded by dense lymphoid tissue. A preoperative diagnosis of LECs is difficult due to imaging diversity and inadequate documentation because of their rarity. We present a case of surgically confirmed pancreatic LEC with magnetic resonance imaging (MRI) findings as heterogeneous signal intensity on T2-weighted images with multiple septa-like structures, slightly hypo-signal intensity on T1-weighted images, and thin-wall enhancement on dynamic contrast images. LECs are benign lesions without any malignant potential. Therefore, the inclusion of LEC in the differential diagnosis of cystic pancreatic lesions may reduce unnecessary surgical procedures.

• Smart Structures and Systems
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• 제25권4호
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• pp.459-469
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• 2020

The presence of cracks in mechanical components is a very important problem that, if it is not detected on time, can lead to high economic costs and serious personal injuries. This work presents a methodology focused on identifying cracks in unbalanced rotors, which are some of the most frequent mechanical elements in industry. The proposed method is based on Artificial Neural Networks that give a solution to the presented inverse problem. They allow to estimate unknown crack parameters, specifically, the crack depth and the eccentricity angle, depending on the dynamic behavior of the rotor. The necessary data to train the developed Artificial Neural Network have been obtained from the frequency spectrum of the displacements of the well- known cracked Jeffcott rotor model, which takes into account the crack breathing mechanism during a shaft rotation. The proposed method is applicable to any rotating machine and it could contribute to establish adequate maintenance plans.