• Korean Journal of Radiology
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• 제25권4호
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• pp.384-394
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• 2024

Objective: To evaluate the image quality of novel dark-blood computed tomography angiography (CTA) imaging combined with deep learning reconstruction (DLR) compared to delayed-phase CTA images with hybrid iterative reconstruction (HIR), to visualize the cervical artery wall in patients with Takayasu arteritis (TAK). Materials and Methods: This prospective study continuously recruited 53 patients with TAK (mean age: 33.8 ± 10.2 years; 49 females) between January and July 2022 who underwent head-neck CTA scans. The arterial- and delayed-phase images were reconstructed using HIR and DLR. Subtracted images of the arterial-phase from the delayed-phase were then added to the original delayed-phase using a denoising filter to generate the final-dark-blood images. Qualitative image quality scores and quantitative parameters were obtained and compared among the three groups of images: Delayed-HIR, Dark-blood-HIR, and Dark-blood-DLR. Results: Compared to Delayed-HIR, Dark-blood-HIR images demonstrated higher qualitative scores in terms of vascular wall visualization and diagnostic confidence index (all P < 0.001). These qualitative scores further improved after applying DLR (Dark-blood-DLR compared to Dark-blood-HIR, all P < 0.001). Dark-blood DLR also showed higher scores for overall image noise than Dark-blood-HIR (P < 0.001). In the quantitative analysis, the contrast-to-noise ratio (CNR) values between the vessel wall and lumen for the bilateral common carotid arteries and brachiocephalic trunk were significantly higher on Dark-blood-HIR images than on Delayed-HIR images (all P < 0.05). The CNR values were significantly higher for Dark-blood-DLR than for Dark-blood-HIR in all cervical arteries (all P < 0.001). Conclusion: Compared with Delayed-HIR CTA, the dark-blood method combined with DLR improved CTA image quality and enhanced visualization of the cervical artery wall in patients with TAK.

• 생약학회지
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• 제12권2호
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• pp.98-110
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• 1981

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 2004년도 추계학술발표회 발표논문집
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• pp.1133-1134
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• 2004

• 한국임상수의학회:학술대회논문집
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• 한국임상수의학회 2006년도 춘계학술대회
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• pp.122-122
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• 2006

• 한국임상수의학회:학술대회논문집
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• 한국임상수의학회 2006년도 추계학술대회 및 정기총회
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• pp.54-54
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• 2006

• Korean Circulation Journal
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• 제53권9호
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• pp.652-654
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• 2023

• Korean Journal of Radiology
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• 제22권12호
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• pp.2073-2081
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• 2021

Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

• 대한치과교정학회:학술대회논문집
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• 대한치과교정학회 1998년도 제31회 학술대회
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• pp.76.1-76.1
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• 1998

• 대한생식의학회:학술대회논문집
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• 대한불임학회 1997년도 제34차 추계 학술대회
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• pp.71-72
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• 1997

• 대한한의학회지
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• 제42권2호
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• pp.82-89
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• 2021

Objectives: The purpose of this study was to examine the curriculum of the medical humanities and social medicine at 11 Colleges of Korean Medicine (CKM) based on the Korean Medicine Education Accreditation Standards 2021 (KAS2021) and suggest ways to improve the quality of Korean Medical education in the future. Methods: The curricula for each grade were collected from the websites of 11 CKM. Based on KAS2021, medical humanities and social medicine courses were extracted and compiled. Courses offered, frequency of course offerings, time of offerings, credits, and course hours were investigated. Results: Courses in languages and literature were most frequently offered in CKM. Most medical humanities and social medicine courses were offered in the pre-medical program and the fourth year of the medical program and were conducted as individual courses. Developing a curriculum that integrates conceptual definitions of the medical humanities and social medicine with basic and clinical studies is necessary. Conclusion: Eleven CKM should reorganize and operate their medical humanities and social medicine curricula based on each college's circumstances. This will allow each college to improve the quality of its educational offerings, creating a foundation for fostering excellent korean medicine doctors with professional medical skills and communication skills.