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Your search keyword '"Jung, Joon-Yong"' showing total 9 results
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9 results on '"Jung, Joon-Yong"'

6. Cover Image, Volume 30, Issue 4

Author

Liu, Saifeng, primary, Buch, Sagar, additional, Chen, Yongsheng, additional, Choi, Hyun-Seok, additional, Dai, Yongming, additional, Habib, Charbel, additional, Hu, Jiani, additional, Jung, Joon-Yong, additional, Luo, Yu, additional, Utriainen, David, additional, Wang, Meiyun, additional, Wu, Dongmei, additional, Xia, Shuang, additional, and Haacke, E. Mark, additional

Published
2017
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8. Susceptibility-weighted imaging: current status and future directions

Author

Liu, Saifeng, primary, Buch, Sagar, additional, Chen, Yongsheng, additional, Choi, Hyun-Seok, additional, Dai, Yongming, additional, Habib, Charbel, additional, Hu, Jiani, additional, Jung, Joon-Yong, additional, Luo, Yu, additional, Utriainen, David, additional, Wang, Meiyun, additional, Wu, Dongmei, additional, Xia, Shuang, additional, and Haacke, E. Mark, additional

Published
2016
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9. Susceptibility-weighted imaging: current status and future directions.

Author

Liu S, Buch S, Chen Y, Choi HS, Dai Y, Habib C, Hu J, Jung JY, Luo Y, Utriainen D, Wang M, Wu D, Xia S, and Haacke EM

Subjects
Brain pathology, Brain Diseases pathology, Diffusion Magnetic Resonance Imaging trends, Forecasting, Humans, Image Enhancement methods, Molecular Imaging methods, Molecular Imaging trends, Reproducibility of Results, Sensitivity and Specificity, Brain diagnostic imaging, Brain metabolism, Brain Diseases diagnostic imaging, Brain Diseases metabolism, Diffusion Magnetic Resonance Imaging methods, Image Interpretation, Computer-Assisted methods
Abstract

Susceptibility-weighted imaging (SWI) is a method that uses the intrinsic nature of local magnetic fields to enhance image contrast in order to improve the visibility of various susceptibility sources and to facilitate diagnostic interpretation. It is also the precursor to the concept of the use of phase for quantitative susceptibility mapping (QSM). Nowadays, SWI has become a widely used clinical tool to image deoxyhemoglobin in veins, iron deposition in the brain, hemorrhages, microbleeds and calcification. In this article, we review the basics of SWI, including data acquisition, data reconstruction and post-processing. In particular, the source of cusp artifacts in phase images is investigated in detail and an improved multi-channel phase data combination algorithm is provided. In addition, we show a few clinical applications of SWI for the imaging of stroke, traumatic brain injury, carotid vessel wall, siderotic nodules in cirrhotic liver, prostate cancer, prostatic calcification, spinal cord injury and intervertebral disc degeneration. As the clinical applications of SWI continue to expand both in and outside the brain, the improvement of SWI in conjunction with QSM is an important future direction of this technology. Copyright © 2016 John Wiley & Sons, Ltd., (Copyright © 2016 John Wiley & Sons, Ltd.)

Published
2017
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