Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Guangyu Dan"'
1
Akademický článek
Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI)
Autor: Zheng Zhong, Kanghyun Ryu, Jonathan Mao, Kaibao Sun, Guangyu Dan, Shreyas S. Vasanawala, Xiaohong Joe Zhou
Publikováno v: Bioengineering, Vol 10, Iss 7, p 864 (2023)
Purpose: To develop a novel convolutional recurrent neural network (CRNN-DWI) and apply it to reconstruct a highly undersampled (up to six-fold) multi-b-value, multi-direction diffusion-weighted imaging (DWI) dataset. Methods: A deep neural network t
Externí odkaz: https://doaj.org/article/b2f18e2e8e6448339c6eff655ac333fd
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2
Akademický článek
Diffusion in Sephadex Gel Structures: Time Dependency Revealed by Multi-Sequence Acquisition over a Broad Diffusion Time Range
Autor: Guangyu Dan, Weiguo Li, Zheng Zhong, Kaibao Sun, Qingfei Luo, Richard L. Magin, Xiaohong Joe Zhou, M. Muge Karaman
Publikováno v: Mathematics, Vol 9, Iss 14, p 1688 (2021)
It has been increasingly reported that in biological tissues diffusion-weighted MRI signal attenuation deviates from mono-exponential decay, especially at high b-values. A number of diffusion models have been proposed to characterize this non-Gaussia
Externí odkaz: https://doaj.org/article/66235b56470643b782c8aeb1f985b0a9
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5
In‐plane simultaneous multisegment imaging using a 2D RF pulse
Autor: Kaibao Sun, Zhongbiao Xu, M. Muge Karaman, Xiaohong Joe Zhou, Guangyu Dan, Zheng Zhong
Publikováno v: Magnetic Resonance in Medicine. 87:263-271
Purpose To develop an in-plane simultaneous multisegment (IP-SMS) imaging technique using a 2D-RF pulse and to demonstrate its ability to achieve high spatial resolution in EPI while reducing image distortion. Methods The proposed IP-SMS technique ta
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c750d49e027ad69c11d57e057677221
https://doi.org/10.1002/mrm.28956
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6
Evaluation of a fractional-order calculus diffusion model and bi-parametric VI-RADS for staging and grading bladder urothelial carcinoma
Autor: Daoyu Hu, Cui Feng, Xiaohong Joe Zhou, Zhen Li, Yanchun Wang, M. Muge Karaman, Guangyu Dan, Zheng Zhong
Publikováno v: European Radiology. 32:890-900
To evaluate the feasibility of high b-value diffusion-weighted imaging (DWI) for distinguishing non-muscle-invasive bladder cancer (NMIBC) from muscle-invasive bladder cancer (MIBC) and low- from high-grade bladder urothelial carcinoma using a fracti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4105761479031b813be1a335cdcbdfab
https://doi.org/10.1007/s00330-021-08203-2
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7
MRI with sub‐millisecond temporal resolution over a reduced field of view
Autor: Zheng Zhong, Xiaohong Joe Zhou, Guangyu Dan, Qingfei Luo, Kaibao Sun
Publikováno v: Magn Reson Med
PURPOSE To demonstrate an MRI pulse sequence-Sub-millisecond Periodic Event Encoded Dynamic Imaging with a reduced field of view (or rFOV-SPEEDI)-for decreasing the scan times while achieving sub-millisecond temporal resolution. METHODS rFOV-SPEEDI w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2af633463e240d6ae73f124ba71e71a7
https://doi.org/10.1002/mrm.28924
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8
Visualization of Human Aortic Valve Dynamics Using Magnetic Resonance Imaging with Sub‐Millisecond Temporal Resolution
Autor: Kaibao Sun, Qingfei Luo, M. Muge Karaman, Afshin Farzaneh-Far, Xiaohong Joe Zhou, Guangyu Dan, Zheng Zhong
Publikováno v: Journal of Magnetic Resonance Imaging. 54:1246-1254
BACKGROUND Visualization of aortic valve dynamics is important in diagnosing valvular diseases but is challenging to perform with magnetic resonance imaging (MRI) due to the limited temporal resolution. PURPOSE To develop an MRI technique with sub-mi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::941410dcba173a04efae17328d03fa46
https://doi.org/10.1002/jmri.27603
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9
Characterization of breast lesions using multi-parametric diffusion MRI and machine learning
Autor: Rahul Mehta, Yangyang Bu, Zheng Zhong, Guangyu Dan, Ping-Shou Zhong, Changyu Zhou, Weihong Hu, Xiaohong Joe Zhou, Maosheng Xu, Shiwei Wang, M Muge Karaman
Publikováno v: Physics in Medicine & Biology. 68:085006
Objective. To investigate quantitative imaging markers based on parameters from two diffusion-weighted imaging (DWI) models, continuous-time random-walk (CTRW) and intravoxel incoherent motion (IVIM) models, for characterizing malignant and benign br
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3087731d34e2b3df2b54bf53e3391ff
https://doi.org/10.1088/1361-6560/acbde0
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10
Simultaneous multi-segment (SMSeg) EPI over multiple focal regions
Autor: Kaibao Sun, Zheng Zhong, Guangyu Dan, Kezhou Wang, M Muge Karaman, Qingfei Luo, Xiaohong Joe Zhou
Publikováno v: Phys Med Biol
Objective. This study aimed at developing a simultaneous multi-segment (SMSeg) imaging technique using a two-dimensional (2D) RF pulse in conjunction with echo planar imaging (EPI) to image multiple focal regions. Approach. The SMSeg technique levera
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fa2566e5ebe3c466363ef6ed3b71335
https://doi.org/10.1088/1361-6560/acb2a9
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