• Journal of Radiation Protection and Research
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• v.37 no.1
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• pp.25-34
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• 2012

To know which parameters were acceptable for achieving lowest radiation exposure to the patients and highest image quality at the diagnostic X-ray radiography, we measured the patient radiation dose and image quality in transmitted PACS (Picture Archiving and Communication System) at variable combinations of the added filters. As a result, the Dose Area Product (DAP: $mGy{\cdot}cm^2$) and Entrance Surface Doses (ESDs: $mGy$) was lowest at 1 mmAl + 0.2 mmCu and highest at 0 mmAl. The histogram of the image quality by transmitted PACS was not significantly different at variable combinations of exposure parameters on the MATLAB. In conclusion, this study can be helpful for expecting radiation dose-exposure and control exposure parameters for the diagnostic X-ray radiography.

• Journal of the Korean Society of Radiology
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• v.17 no.3
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• pp.375-384
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• 2023

Most Hepatic hemangiomas are asymptomatic and small in size, making them difficult to find by pathological examination. Therefore, radiological diagnosis is essential for the early finding and diagnosis of Hepatic hemangioma. Three-phase method using contrast medium in computed tomography, T1, T2-weighted imaging in magnetic resonance imaging, dynamic magnetic resonance imaging using contrast medium, echo planar imaging method, diffusion-weighted imaging method, blood pool scan using ^99mTc-labeled red blood cells in nuclear medicine, we looked at the color doppler method In ultrasound, and it is important to accurately understand the imaging findings of hepatic hemangioma and perform the examination in order to make an accurate diagnosis. most hepatic hemangioma are benign tumors, care should be taken not to confuse them with malignant tumors such as hepatocellular carcinoma to prevent unnecessary procedures. Therefore, in order to make an accurate diagnosis, it is important to accurately understand the imaging findings of hemangioma and perform the examination.

• Journal of the Korean Society of Radiology
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• v.17 no.5
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• pp.693-699
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• 2023

Ultrasound is widely used in the medical field for non-destructive and non-invasive disease diagnosis. In order to improve the disease diagnosis accuracy of diagnostic medical images, improving spatial resolution is a very important factor. In this study, we aim to model the super resolution convolutional neural network (SRCNN) algorithm in ultrasound images and analyze its applicability in the medical diagnostic field. The study was conducted as an experimental study using Field II simulation and open source clinical liver hemangioma ultrasound imaging. The proposed SRCNN algorithm was modeled so that end-to-end learning can be applied from low resolution (LR) to high resolution. As a result of the simulation, we confirmed that the full width at half maximum in the phantom image using a Field II program was improved by 41.01% compared to LR when SRCNN was used. In addition, the peak to signal to noise ratio (PSNR) and structural similarity index (SSIM) evaluation results showed that SRCNN had the excellent value in both simulated and real liver hemangioma ultrasound images. In conclusion, the applicability of SRCNN to ultrasound images has been proven, and we expected that proposed algorithm can be used in various diagnostic medical fields.

• Journal of the Korean Society of Radiology
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• v.82 no.6
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• pp.1581-1588
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• 2021

Electronic cigarette (e-cigarette) or vaping product use-associated lung injury (EVALI) has emerged as a social issue as e-cigarette use is rapidly increasing worldwide and is related to many deaths in the United States. To our knowledge, this is the first case report of EVALI in South Korea of a 24-year-old man with acute respiratory symptoms and a history of e-cigarette use. Chest CT revealed diffuse bilateral ground-glass opacities with subpleural sparing, airspace consolidation, and centrilobular micronodules as typical patterns of EVALI with organizing pneumonia and diffuse alveolar damage. Infection was excluded with meticulous laboratory examinations, and the patients' illnesses were not attributed to other causes. EVALI was diagnosed by meeting the diagnostic criteria with consistent clinico-radiologic findings through a multidisciplinary approach. Radiologists should have good knowledge of EVALI radiologic findings and play a cardinal role in the proper diagnosis and management of EVALI.

• Proceedings of the Korean Society of Radiological Science
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• 1994.10a
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• pp.101.2-102
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• 1994

• Proceedings of the KOSOMBE Conference
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• v.1985 no.06
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• pp.40-43
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• 1985

• 대한두경부종양학회:학술대회논문집
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• 2001.11a
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• pp.268-268
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• 2001

• Tuberculosis and Respiratory Diseases
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• v.47 no.4
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• pp.429-441
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• 1999

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.385-386
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• 2017

진단을 위해 조영제를 연속해서 사용하는 검사는, 첫 번째 주입으로 인해 조영제가 영상에 미치는 효과를 고려해야 한다. 본 연구에서는 mask 영상의 획득 시점을 통해 이를 개선하고자, 관류영상 획득 후 조영영상을 감산하는 새로운 방법을 제시하여, 혈관 겹침의 원인이 정맥의 신호강도를 유의하게 감소시켰다. 따라서, 본 연구의 방법을 이용하면, 복잡한 재구성이나 추가적인 기법 없이도, 효율적으로 정맥신호를 제거 할 수 있어 유용하리라 사료된다.

• Journal of Biomedical Engineering Research
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• v.22 no.1
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• pp.9-17
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• 2001

의료영상 처리는 의료 전문가들이 의료영상을 이용한 진단, 치료, 및 연구를 함에 있어 중요한 역할을 하고 있다. 많은 영상 분할 방법들이 의료영상 처리분야에서 성공적으로 사용되고 있다. 본 논문에서는 CT 영상에서 간 영역을 자동으로 추출하는 방법을 제시한다. 본 논문에서는 간 영역을 추출하기 위해 co-occurrence matrix를 적용하였고, 추출된 영역에서 뼈와 근육, 신장 영역을 제거하였다. 제안된 방법은 의료 전문가가 추출한 결과와 비교하여 좋은 결과를 보여주었다.