Overview of Diffusion Tensor, Diffusion Kurtosis, and Q-space Imaging and Software Tools - 24/04/21
Doi : 10.1016/j.mric.2021.02.003
Khader M. Hasan, PhD a, ⁎ 
, Kei Yamada, MD, PhD b
, Kei Yamada, MD, PhD b a Department of Diagnostic and Interventional Radiology, The University of Texas Health Science Center, McGovern Medical School, Houston, Texas, USA
b Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 6028566, Japan
∗Corresponding author. Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center, McGovern Medical School at Houston, 6431 Fannin Street, MSB 2.100, Houston, Texas 77030.Department of Diagnostic and Interventional ImagingThe University of Texas Health Science CenterMcGovern Medical School at Houston6431 Fannin Street, MSB 2.100HoustonTexas77030
Résumé |
This work offers a short up-to-date review of diffusion-weighted MR imaging (dMRI) and software tools that are used widely to process and analyze clinical dMRI. A consolidated dMRI protocol for clinical applications that enables the mapping of tissue microstructural attributes is presented.
Le texte complet de cet article est disponible en PDF.Keywords : Diffusion tensor imaging, Diffusion spectrum imaging, Diffusion kurtosis, DTI, DSI, DKI
Plan
© 2021
Elsevier Inc. Tous droits réservés.
Vol 29 - N° 2
P. 263-268 - mai 2021 Retour au numéro
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