• Journal of the Korean Society of Radiology
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• v.82 no.2
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• pp.315-334
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• 2021

Imaging studies play an important role in the detection, diagnosis, assessment of resectability, staging, and determination of patient-tailored treatment options for pancreatic adenocarcinoma. Recently, for patients diagnosed with borderline resectable or locally advanced pancreatic cancers, it is recommended to consider curative-intent surgery following neoadjuvant or palliative therapy, if possible. This review covers how to interpret imaging tests and what to consider when assessing resectability, diagnosing distant metastasis, and re-assessing the resectability of pancreatic cancer after neoadjuvant or palliative therapy.

• Journal of the Korean Society of Radiology
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• v.81 no.3
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• pp.465-466
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• 2020

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.550-555
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• 2007

초음파 영상은 초음파 펄스를 이용하여 반사파를 수신하여 진단에 필요한 영상을 구성하는데 신호가 약해 질 경우 잡음이 발생하며 미세한 명암도 차이 등에 의해 분석과정에서 육안으로 인지하고 진단하는데 어려움이 있다. 특히 근골격계 검사를 위한 초음파 영상에서 근육 영역의 진단에 어려움을 준다. 따라서 본 논문에서는 초음파 영상에서 영상처리 기법을 이용하여 근육 영역을 검출할 수 있는 방법을 제안한다. 초음파 영상에서의 근육 영역검출은 피하지방층과 기타 영역 그리고 근육을 둘러싸고 있는 근육막 후보 영역을 검출한 후, 위치 정보와 형태학적 특징을 이용하여 최종적으로 근육막 내부 영역인 근육 영역을 검출한다. 제안된 방법의 근육막 후보 영역의 검출 과정은 개선된 히스토그램 스트레칭과 Mutiple연산으로 대비 차를 향상시키고 반복 이진화 기법을 적용한 후, 잡음에 의해 손실되거나 끊어진 근육막 영역을 거리 및 방향 분석을 이용하여 연결한 후에 근육막 후보 영역을 검출한다. 검출된 근육막 후보 영역의 형태학적 특징과 위치 정보를 이용하여 피하지방층과 기타 영역을 분류 한 후, 최종적으로 근육 영역을 검출한다. 실제 초음파 영상을 대상으로 제안된 근육 검출 방법을 적용하여 검출된 근육 영역과 전문의가 분석한 근육 영역을 비교한 결과, 제안된 근육 검출 방법이 전문의가 육안으로 분석한 근육영역과 근접하게 검출되어 본 논문에서 제안한 근육 영역 검출 방법이 효율적임을 확인할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.753-756
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• 2014

파킨슨병은 도파민계 신경이 파괴되는 질병으로 알츠하이머병과 함께 대표적인 퇴행성 뇌 질환으로 병의 진행을 완화시킬 수 있는 치료법이 존재하기 때문에 병의 진단이 굉장히 중요하다. 파킨슨병을 진단하기 위한 과거의 연구는 대부분 단일 생체지표를 이용하는 것이었지만 이러한 방법에는 한계성이 존재한다. 따라서 본 연구에서는 생화학적 생체지표인 뇌척수액 내의 ${\alpha}-synuclein$ 단백질 수치와 영상학적 생체지표인 확산 텐서 영상의 여러 모수들을 결합한 융합 생체지표를 특징으로 사용하는 파킨슨병 진단 모델을 개발하고 성능을 평가하였다. 10-fold cross validation 에서 모든 성능지표에 대해 최고 100%를 보였으며, cross validation 의 과적합을 감안하더라도 파킨슨병의 조기진단에 유용하게 사용될 수 있는 가능성을 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.539-542
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• 2022

신생아 호흡곤란 증후군은 주로 미숙아에게 발생하는 호흡기 질환으로, 특징적 영상 소견 및 다른 검사 소견을 바탕으로 진단된다. 본 논문은 기계 장치 등 외부 요소의 영향을 최소화하고자 폐 영역을 분할하여 신생아 호흡곤란 증후군을 진단하는 기법을 제안한다. 분할에는 UNet 구조를 사용하고 진단에는 EfficientNet-B5를 사용하여 최종적으로 신생아 호흡곤란 증후군의 진단 정확도 0.852를 달성하였다.

• Investigative Magnetic Resonance Imaging
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• v.11 no.2
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• pp.119-126
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• 2007

MR (magnetic resonance) imaging of the brachial plexus is challenging because of the complex and tangled anatomy of the brachial plexus and the multifariouness of pathologies that can put on it. Improvements in imaging techniques, including the availability of high resolution MR image systems and high channels multidetector computed tomography (CT), have led to more accurate diagnoses and improved serve for treatment planning. For the purpose of imaging and treatment of the brachioplexopathy, it is considerate to divide traumatic and nontraumatic diseases affecting the brachial plexus. MRI is the current gold standard imaging modality for nontraumatic brachial plexopathy. CT myelography is the preferred for the diagnosis of nerve root avulsions affecting the brachial plexus. Other modalities, such as CT, ultrasonography and positron emission tomography, have a limited role in the evaluation of brachial plexus pathology. High-quality, high-resolution MRI remains the main tool for imaging the brachial plexopathy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.107-114
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• 2017

Iris diagnosis is an alternative medicine to diagnose the disease of the patient by using different of the iris pattern, color and other characteristics. This paper proposed a disease prediction algorithm that using the iris regions that analyze iris change to using differential image of iris image. this method utilize as patient's health examination according to iris change. Because most of previous studies only find a sign pattern in a iris image, it's not enough to be used for a iris diagnosis system. We're developed an iris diagnosis system based on a iris images processing approach, It's presents the extraction algorithms of 8 major iris signs and correction manually for improving the accuracy of analysis. As a result, PNSR of applied edge detection image is about 132, and pattern matching area recognition presented practical use possibility by automatic diagnostic that presume situation of human body by iris about 91%.

• The Journal of Korean Orthopaedic Ultrasound Society
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• v.1 no.2
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• pp.94-111
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• 2008

Traditionally the diagnosis and treatment of the diseases of the knee is based on the findings of the x-rays and the MRI. The x-rays provide good information of the changes of the internal structure of the bone. However, there is a limitation in providing information of the soft tissue and the cartilage. The MRI is one of the most expensive diagnostic modalities and it can not give us a dynamic and real time information. The sonography has a role in diagnosis and treatment of the soft tissue disease and surface of the bone. It gives us a real time dynamic information and it is really cheap. In this article the sonographic findings of the normal and pathologic conditions of the knee joint are introduced in relation to the findings of the x-rays and the MRI.

• Journal of the Korean Society of Radiology
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• v.85 no.3
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• pp.549-565
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• 2024

MRI is a crucial tool for diagnosing adenomyosis and identifying its related pathologies. To accurately diagnose adenomyosis, it is necessary to recognize both the typical MRI findings and atypical features of the condition. Recently, a standardized classification system has been developed to facilitate precise presurgical diagnosis of adenomyosis and to determine the appropriate treatment method. Differentiating between various subtypes based on MRI-based classification and identifying different MRI phenotypes can aid in categorizing patients with adenomyosis into specific treatment groups and monitoring their response to therapy.

• Investigative Magnetic Resonance Imaging
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• v.14 no.1
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• pp.41-46
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• 2010

Purpose : To evaluate the role of magnetic resonance imaging (MRI) in the diagnosis of papillary lesions of the breast. Materials and methods : Among 45 papillary lesions diagnosed at ultrasonography-guided core biopsy (USCB), 27 benign papillary lesions in 22 patients who underwent breast MRI were reviewed. The excsional biopsy was performed in 1-10 days after MRI was done. In MRI findings, lesions were considered suspicious if they show irregular, rim enhancement, or linear enhancement in morphologic evaluation, or washout enhancement pattern of delayed phase in dynamic enhancement characteristics. Diffusionweighted images were analyzed according to visibility of lesions. MRI findings were correlated with pathologic results at excisional biopsy. Results : At excisional biopsy, two lesions (9%) were diagnosed malignant in 22 benign papillary lesions without atypia by USCB and 4 (80%) were malignant in 5 benign papillary lesions with atypia by USCB. Among 18 lesions detected on MRI, 16 lesions showed suspicious findings on MRI, 11 lesions (69%) were diagnosed as benign and 5 (31%) were malignant. Among 12 lesions detected on diffusion weighted imaging, 10 lesions were diagnosed as benign and 2 were malignant. MRI findings were not significantly correlated with pathologic results at excisional biopsy. Conclusion : MRI findings were not useful to predict malignancy in benign papillary lesions diagnosed at USCB, because MRI findings of these were mostly suspicious (88.9%, 16/18). The benign papillary lesion should be included in the false positive lesion on breast MRI.