Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Hangyi, Jiang"'
Autor:
Steve C. N. Hui, Muhammad G. Saleh, Helge J. Zöllner, Georg Oeltzschner, Hongli Fan, Yue Li, Yulu Song, Hangyi Jiang, Jamie Near, Hanzhang Lu, Susumu Mori, Richard A. E. Edden
Publikováno v:
Magnetic Resonance in Medicine. 88:1994-2004
The purpose of this study is to present a cloud-based spectral simulation tool "MRSCloud," which allows MRS users to simulate a vendor-specific and sequence-specific basis set online in a convenient and time-efficient manner. This tool can simulate b
Autor:
Steve C.N. Hui, Muhammad G. Saleh, Helge J. Zöllner, Georg Oeltzschner, Hongli Fan, Yue Li, Yulu Song, Hangyi Jiang, Jamie Near, Hanzhang Lu, Susumu Mori, Richard A. E. Edden
BackgroundAccurate quantification of in vivo proton magnetic resonance spectra involves modeling with a linear combination of known metabolite basis functions. Basis sets can be generated by numerical simulation using the quantum mechanical density-m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::618211646220b4e23969923c6c3b529d
https://doi.org/10.1101/2022.03.22.485310
https://doi.org/10.1101/2022.03.22.485310
Image corruption detection in diffusion tensor imaging for post-processing and real-time monitoring.
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e49764 (2013)
Due to the high sensitivity of diffusion tensor imaging (DTI) to physiological motion, clinical DTI scans often suffer a significant amount of artifacts. Tensor-fitting-based, post-processing outlier rejection is often used to reduce the influence of
Externí odkaz:
https://doaj.org/article/4d42a55c5e3b4f5485a300a7248d1521
Autor:
Peter C.M. van Zijl, Moshe T. Stern, Nicholas I.S. Blair, Yuankui Wu, Raag D. Airan, Jun Hua, Keri S. Rosch, David Woods, Dapeng Liu, Chetan Bettegowda, Hangyi Jiang, Xinyuan Miao, Qin Qin, Jay J. Pillai
Publikováno v:
Radiology
BACKGROUND: MRI performed with echo-planar imaging (EPI) sequences is sensitive to susceptibility artifacts in the presence of metallic objects, which presents a substantial barrier for performing functional MRI and diffusion tensor imaging (DTI) in
Autor:
Can Ceritoglu, Yang Li, Susumu Mori, Peiying Liu, Hangyi Jiang, Hanzhang Lu, Karen M. Rodrigue, Hongli Fan, Michael I. Miller, Yue Li, Pan Su, Shin Lei Peng, Denise C. Park, Andreia V. Faria
Arterial Spin Labeling (ASL) MRI is increasingly used in research and clinical settings. The purpose of this work is to develop a cloud-based tool for ASL data processing, referred to as ASL-MRICloud, which may be useful to the MRI community. Differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8533be814b15bccac8c5acb78138472
https://europepmc.org/articles/PMC6324946/
https://europepmc.org/articles/PMC6324946/
Autor:
Michael I. Miller, Michael An, Rakesh M. Lal, Lynn D. Selemon, Susumu Mori, J. Tilak Ratnanather, Kenichi Oishi, Clare B. Poynton, Muwei Li, Hangyi Jiang
Publikováno v:
Brain Connectivity. 3:475-490
Probabilistic methods have the potential to generate multiple and complex white matter fiber tracts in diffusion tensor imaging (DTI). Here, a method based on dynamic programming (DP) is introduced to reconstruct fibers pathways whose complex anatomi
Autor:
Andreia V. Faria, Yuriko Yamori, Mika Iwami, Katsumi Hayakawa, Yue Li, Shoko Yoshida, Susumu Mori, Xin Li, Naoko Yoshida, John Hsu, Haruyo Hirota, Kenichi Oishi, Toyoko Kanda, Sozo Okano, Hangyi Jiang
Publikováno v:
Journal of Magnetic Resonance Imaging. 38:288-298
Purpose To analyze diffusion tensor imaging (DTI) in two types of cerebral palsy (CP): the athetotic-type and the spastic-type, using an atlas-based anatomical analysis of the entire brain, and to investigate whether these images have unique anatomic
Autor:
Xin Ye, Jeremy Nathans, Susumu Mori, Linda J. Richards, Akira Yamamoto, Nelson Chuang, Arthur W. Toga, Hangyi Jiang, Jiangyang Zhang, Richard L. Sidman, Xin Xu, Michael I. Miller
Publikováno v:
NeuroImage. 54:80-89
The advent of mammalian gene engineering and genetically modified mouse models has led to renewed interest in developing resources for referencing and quantitative analysis of mouse brain anatomy. In this study, we used diffusion tensor imaging (DTI)
Autor:
Roger P. Woods, Arthur W. Toga, Kazi Akhter, Alan C. Evans, Hangyi Jiang, G. Bruce Pike, Michael I. Miller, Pedro Rosa-Neto, Yajing Zhang, John C. Mazziotta, Kenichi Oishi, Xin Li, Susumu Mori, Andreia V. Faria, Jiangyang Zhang, Peter C.M. van Zijl
Publikováno v:
NeuroImage. 52:1289-1301
Tractography based on diffusion tensor imaging (DTI) is widely used to quantitatively analyze the status of the white matter anatomy in a tract-specific manner in many types of diseases. This approach, however, involves subjective judgment in the tra
Autor:
Takashi Yoshioka, Hao Huang, Susumu Mori, Xin Li, Peter C.M. van Zijl, Kegang Hua, Weihong Zhang, Kazi Akhter, Hangyi Jiang, Setsu Wakana, Kenichi Oishi, Jiangyang Zhang
Publikováno v:
Cerebral Cortex. 19:1889-1895
In the human brain, different regions of the cortex communicate via white matter tracts. Investigation of this connectivity is essential for understanding brain function. It has been shown that trajectories of white matter fiber bundles can be estima