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of 3
pro vyhledávání: '"Amalie Chen"'
Autor:
Francesca Bagnato, Giulia Franco, Hua Li, Enrico Kaden, Fei Ye, Run Fan, Amalie Chen, Daniel C. Alexander, Seth A. Smith, Richard Dortch, Junzhong Xu
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 6, Iss 9, Pp 1595-1605 (2019)
Abstract Objects The diffusion‐based spherical mean technique (SMT) provides a novel model to relate multi‐b‐value diffusion magnetic resonance imaging (MRI) data to features of tissue microstructure. We propose the first clinical application o
Externí odkaz:
https://doaj.org/article/ea126e01e5e341418558eb1c838f1ebc
Autor:
Francesca Bagnato, Si Gao, Seth A. Smith, Keejin Yoon, Richard D. Dortch, Sijin Wen, Junzhong Xu, Dhairya A. Lakhani, Amalie Chen
Publikováno v:
J Neuroimaging
Background and purpose Axonal injury is a key player of disability in persons with multiple sclerosis (pwMS). Yet, detecting and measuring it in vivo is challenging. The neurite orientation dispersion and density imaging (NODDI) proposes a novel fram
Autor:
Junzhong Xu, Enrico Kaden, Fei Ye, Amalie Chen, Giulia Franco, Run Fan, Francesca Bagnato, Seth A. Smith, Hua Li, Daniel C. Alexander, Richard D. Dortch
Publikováno v:
Annals of Clinical and Translational Neurology
Annals of Clinical and Translational Neurology, Vol 6, Iss 9, Pp 1595-1605 (2019)
Annals of Clinical and Translational Neurology, Vol 6, Iss 9, Pp 1595-1605 (2019)
Objects The diffusion‐based spherical mean technique (SMT) provides a novel model to relate multi‐b‐value diffusion magnetic resonance imaging (MRI) data to features of tissue microstructure. We propose the first clinical application of SMT to