• Title/Summary/Keyword: 영상진단

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Meningoencephalitis in Dachshund Dog with Canine Distemper Virus Infection: 1.5 T and 7.0 T MRI Findings (닥스훈트견의 바이러스성 뇌수막염에서 1.5T와 7T 자기공명영상을 이용한 진단 증례)

  • Kang, Min-Hee;Park, Hee-Myung
    • Journal of Veterinary Clinics
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    • v.27 no.6
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    • pp.755-759
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    • 2010
  • A 6-year-old, intact female Dachshund was presented with generalized seizure for 2 days. Based on the neurologic and physical examinations, intracranial diseases were suspected. 1.5T and 7.0T magnetic resonance imaging (MRI) of the brain were taken. The MRI results revealed diffuse hyperintense lesions in the area of the diencephalon to the medulla oblongata in the T2-weighted images. Canine distemper virus-induced meningoencephalitis was confirmed by the result of RT-PCR of the cerebrospinal fluid (CSF). The dog was euthanized 7 days after diagnosis due to poor prognosis and clinical deterioration. Postmortem histopathologic examination was consistent with the MRI findings. This is the first case report using 1.5T and 7.0T MRI to compare the virus-induced intracranial lesions in meningoencephalitis.

Imaging for Multiple Myeloma according to the Recent International Myeloma Working Group Guidelines: Analysis of Image Acquisition Techniques and Response Evaluation in Whole-Body MRI according to MY-RADS (International Myeloma Working Group의 최신 가이드 라인에 따른 다발성 골수종의 영상검사법 및 MY-RADS에 따른 전신 MRI에서의 영상 획득과 반응 평가 소개)

  • A Yeon Son;Hye Won Chung
    • Journal of the Korean Society of Radiology
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    • v.84 no.1
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    • pp.150-169
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    • 2023
  • Multiple myeloma (MM) is a malignant hematologic disease caused by the proliferation of clonal plasma cells in the bone marrow, and its incidence is increasing in Korea. With the development of treatments for MM, the need for early diagnosis and treatment has emerged. In recent years, the International Myeloma Working Group (IMWG) has been constantly revising the laboratory and radiological diagnostic criteria for MM. In addition, as whole-body MRI (WBMR) has been increasing used in the diagnosis and treatment response evaluation of patients with MM, the Myeloma Response Assessment and Diagnosis System (MY-RADS) was created to standardize WBMR image acquisition techniques, image interpretation, and response evaluation methods. Radiologists need to have a detailed knowledge of the features of MM for accurate diagnosis. Thus, in this review article, we describe the imaging method for MM according to the latest IMWG guidelines as well as the image acquisition and response evaluation technique for WBMR according to MY-RADS.

Ultrasound-optical imaging-based multimodal imaging technology for biomedical applications (바이오 응용을 위한 초음파 및 광학 기반 다중 모달 영상 기술)

  • Moon Hwan Lee;HeeYeon Park;Kyungsu Lee;Sewoong Kim;Jihun Kim;Jae Youn Hwang
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.5
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    • pp.429-440
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    • 2023
  • This study explores recent research trends and potential applications of ultrasound optical imaging-based multimodal technology. Ultrasound imaging has been widely utilized in medical diagnostics due to its real-time capability and relative safety. However, the drawback of low resolution in ultrasound imaging has prompted active research on multimodal imaging techniques that combine ultrasound with other imaging modalities to enhance diagnostic accuracy. In particular, ultrasound optical imaging-based multimodal technology enables the utilization of each modality's advantages while compensating for their limitations, offering a means to improve the accuracy of the diagnosis. Various forms of multimodal imaging techniques have been proposed, including the fusion of optical coherence tomography, photoacoustic, fluorescence, fluorescence lifetime, and spectral technology with ultrasound. This study investigates recent research trends in ultrasound optical imaging-based multimodal technology, and its potential applications are demonstrated in the biomedical field. The ultrasound optical imaging-based multimodal technology provides insights into the progress of integrating ultrasound and optical technologies, laying the foundation for novel approaches to enhance diagnostic accuracy in the biomedical domain.

Microcalcification Extraction by Wavelet Transform and Automatic Thresholding (웨이브렛 변환과 자동적인 임계치 설정에 의한 미세 석회화 검출)

  • Won, Chul-Ho;Seo, Yong-Su;Cho, Jin-Ho
    • Journal of Korea Multimedia Society
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    • v.8 no.4
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    • pp.482-491
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    • 2005
  • In this paper, we proposed the microcalcification detection algorithm which is based on wavelet transform and automatic thresholding method in the X-ray mammographic images. Digital X-ray imaging system is essential equipment in the field diagnosis and is widely used in the various fields such as chest, fracture of a bone, and dental correction. Especially, digital X-ray mammographic imaging is known as the most important method to diagnose the breast cancer, many researches to develop the imaging system are processing in country. In this paper, we proposed a microcalcifications detection algorithm necessary in the early phase of breast cancer diagnosis and showed that a algorithm could effectively detect microcalfication and could aid diagnosis-radiologist.

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Construction of CT Image data Automatic Recognition System for Diagnosis of Urinary Stone Based on AI Plaform (인공지능 플랫폼기반 요로결석진단을 위한 CT 영상 데이터 자동판독 시스템 구축)

  • Noh, Si-Hyeong;Lee, Chungsub;Kim, Tae-Hoon;Lee, Yun Oh;Park, Sung Bin;Yoon, Kwon-Ha;Jeong, Chang-Won
    • Annual Conference of KIPS
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    • 2020.11a
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    • pp.928-930
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    • 2020
  • 본 논문은 인공지능 플랫폼 기반의 요로결석 진단을 위한 CT 영상 데이터 자동판독 시스템에 대해 기술하고자 한다. 제안한 시스템은 웹 기반의 플랫폼을 기반으로 하며, 인공지능 기반의 진단 알고리즘을 장착하여 빠르게 요로결석 환자의 스크리닝에 목적을 두고 있다. 병원정보시스템의 PACS와 EMR과 연계와 Deep learning 진단 알고리즘을 적용한 요로결석 자동판독 시스템을 개발하였다. 특히, 기 구축된 인공지능 플랫폼을 통해 추출한 데이터셋을 기반으로 진단 알고리즘 개발 방법과 수행 결과를 보인다. 제안한 시스템은 요로결석 진단과 수술여부에 의사결정지원 시스템으로 임상에서 활용될 것으로 기대하고 있다.

Dynamic Parameter Visualization and Noise Suppression Techniques for Contrast-Enhanced Ultrasonography (조영증강 초음파진단을 위한 동적 파라미터 가시화기법 및 노이즈 개선기법)

  • Kim, Ho-Joon
    • Journal of KIISE
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    • v.42 no.7
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    • pp.910-918
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    • 2015
  • This paper presents a parameter visualization technique to overcome the limitation of the naked eye in contrast-enhanced ultrasonography. A method is also proposed to compensate for the distortion and noise in ultrasound image sequences. Meaningful parameters for diagnosing liver disease can be extracted from the dynamic patterns of the contrast enhancement in ultrasound images. The visualization technique can provide more accurate information by generating a parametric image from the dynamic data. Respiratory motions and noise from micro-bubble in ultrasound data may cause a degradation of the reliability of the diagnostic parameters. A multi-stage algorithm for respiratory motion tracking and an image enhancement technique based on the Markov Random Field are proposed. The usefulness of the proposed methods is empirically discussed through experiments by using a set of clinical data.

CT/MRI Liver Imaging Reporting and Data System (LI-RADS): Standardization, Evidence, and Future Direction (CT/MRI 간영상 판독과 자료체계: 표준화, 근거 및 발전방향)

  • Yeun-Yoon Kim;Jin-Young Choi
    • Journal of the Korean Society of Radiology
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    • v.84 no.1
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    • pp.15-33
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    • 2023
  • The liver imaging reporting and data system (LI-RADS) has been developed with the support of the American College of Radiology to standardize the diagnosis and evaluation of treatment response of hepatocellular carcinoma (HCC). The CT/MRI LI-RADS version 2018 has been incorporated in the American Association for the Study of Liver Diseases guidance. This review examines the effect of CT/MRI LI-RADS on the standardized reporting of liver imaging, and the evidence in diagnosing HCC and evaluating treatment response after locoregional treatment using CT/MRI LI-RADS. The results are compared with other HCC diagnosis guidelines, and future directions are described.