Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Shin, Hyeong‐Geol"'
Autor:
Kim, Jiye, Kim, Minjun, Ji, Sooyeon, Min, Kyeongseon, Jeong, Hwihun, Shin, Hyeong-Geol, Oh, Chungseok, Straub, Sina, Kim, Seong-Gi, Lee, Jongho
A recently introduced quantitative susceptibility mapping (QSM) technique, $\chi$-separation, offers the capability to separate paramagnetic ($\chi_{\text{para}}$) and diamagnetic ($\chi_{\text{dia}}$) susceptibility distribution within the brain. In
Externí odkaz:
http://arxiv.org/abs/2410.12239
Autor:
Kim, Minjun, Ji, Sooyeon, Kim, Jiye, Min, Kyeongseon, Jeong, Hwihun, Youn, Jonghyo, Kim, Taechang, Jang, Jinhee, Bilgic, Berkin, Shin, Hyeong-Geol, Lee, Jongho
Magnetic susceptibility source separation ($\chi$-separation), an advanced quantitative susceptibility mapping (QSM) method, enables the separate estimation of para- and diamagnetic susceptibility source distributions in the brain. The method utilize
Externí odkaz:
http://arxiv.org/abs/2409.14030
Autor:
Min, Kyeongseon, Sohn, Beomseok, Kim, Woo Jung, Park, Chae Jung, Song, Soohwa, Shin, Dong Hoon, Chang, Kyung Won, Shin, Na-Young, Kim, Minjun, Shin, Hyeong-Geol, Lee, Phil Hyu, Lee, Jongho
Iron and myelin are primary susceptibility sources in the human brain. These substances are essential for healthy brain, and their abnormalities are often related to various neurological disorders. Recently, an advanced susceptibility mapping techniq
Externí odkaz:
http://arxiv.org/abs/2311.04468
Autor:
Park, Juhyung, Park, Dongwon, Shin, Hyeong-Geol, Choi, Eun-Jung, An, Hongjun, Kim, Minjun, Shin, Dongmyung, Chun, Se Young, Lee, Jongho
Denoising of magnetic resonance images is beneficial in improving the quality of low signal-to-noise ratio images. Recently, denoising using deep neural networks has demonstrated promising results. Most of these networks, however, utilize supervised
Externí odkaz:
http://arxiv.org/abs/2208.07552
Autor:
Zhang, Zijing, Wang, Long, Cho, Jaejin, Liao, Congyu, Shin, Hyeong-Geol, Cao, Xiaozhi, Lee, Jongho, Xu, Jinmin, Zhang, Tao, Ye, Huihui, Setsompop, Kawin, Liu, Huafeng, Bilgic, Berkin
To rapidly obtain high resolution T2, T2* and quantitative susceptibility mapping (QSM) source separation maps with whole-brain coverage and high geometric fidelity. We propose Blip Up-Down Acquisition for Spin And Gradient Echo imaging (BUDA-SAGE),
Externí odkaz:
http://arxiv.org/abs/2108.12587
Purpose: To separate the effects of magnetic susceptibility and chemical shift/exchange in a phantom with isotropic magnetic susceptibility. To generate a chemical shift/exchange-corrected quantitative susceptibility mapping (QSM) result. Theory and
Externí odkaz:
http://arxiv.org/abs/2007.09614
DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE
Autor:
An, Hongjun, Shin, Hyeong-Geol, Ji, Sooyoen, Jung, Woojin, Oh, Sehong, Shin, Dongmyung, Park, Juhyung, Lee, Jongho
Respiration-induced B$_0$ fluctuation corrupts MRI images by inducing phase errors in k-space. A few approaches such as navigator have been proposed to correct for the artifacts at the expense of sequence modification. In this study, a new deep learn
Externí odkaz:
http://arxiv.org/abs/2007.09597
Purpose: To demonstrate the application of artificial-neural-network (ANN) for real-time processing of myelin water imaging (MWI). Methods: Three neural networks, ANN-IMWF, ANN-IGMT2, and ANN-II, were developed to generate MWI. ANN-IMWF and ANN-IGMT2
Externí odkaz:
http://arxiv.org/abs/1904.12522
Publikováno v:
In NeuroImage June 2023 273
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