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Soyeoun Lim

As seen in: MDPI, Radiological Society of North America
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Articles

Clinical Evaluation of Deep Learning–Reconstructed Readout-Segmented Diffusion-Weighted Imaging with Water-Excitation-Spectral Fat Suppression in 3T Breast MRI

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By Jung Min Choi, Soyeoun Lim, Eun Jung Choi
| preprints.org
You are already at the latest version Objectives: To evaluate whether deep-learning–reconstructed readout-segmented echo-planar imaging (DL-rs-EPI) with combined water-excitation-spectral-fatsat (WEXfs) improves image quality compared with conventional rs-EPI using spectral attenuated inversion recovery at 3 T. Methods: Overall, 80 patients underwent breast magnetic resonance imaging (MRI) with conventional and DL-rs-EPI using WEXfs techniques (b-values: 0, 800, and 1200 s/mm²).
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Contrast-Enhanced Chest Computed Tomography for In-Breast Recurrence Detection: Clinical and Imaging Predictors of Visibility

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By Ho Min Jang, Soyeoun Lim, Kyoungkyg Bae, Minseo Bang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Radiographic and CT Features of Viral Pneumonia

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By Byers RJ, Hasleton PS, Hyun Jung Koo, Soyeoun Lim
| Radiological Society of North America
Abstract Although a definite diagnosis of viral pneumonia cannot be made on the basis of typical imaging features alone, a combination of clinical and radiologic findings can be suggestive of potential pathogens. Viruses are the most common causes of respiratory infection. The imaging findings of viral pneumonia are diverse and overlap with those of other nonviral infectious and inflammatory conditions. However, identification of the underlying viral pathogens may not always be easy.
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