A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra-strong gradient MRI scanners
Journal article
Rudrapatna, Umesh, Parker, Greg D., Roberts, Jamie and Jones, Derek. (2020). A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra-strong gradient MRI scanners. Magnetic Resonance in Medicine. 85(2), pp. 1104-1113. https://doi.org/10.1002/mrm.28464
Authors | Rudrapatna, Umesh, Parker, Greg D., Roberts, Jamie and Jones, Derek |
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Abstract | Purpose Methods Results Conclusions |
Keywords | connectom; diffusion MRI; diffusion preprocessing; gradient nonlinearity; human connectome project; ultra-strong gradients |
Year | 2020 |
Journal | Magnetic Resonance in Medicine |
Journal citation | 85 (2), pp. 1104-1113 |
Publisher | John Wiley & Sons |
ISSN | 0740-3194 |
Digital Object Identifier (DOI) | https://doi.org/10.1002/mrm.28464 |
Scopus EID | 2-s2.0-85091864596 |
Open access | Published as ‘gold’ (paid) open access |
Publisher's version | License File Access Level Open |
Publication process dates | |
Deposited | 21 May 2021 |
https://acuresearchbank.acu.edu.au/item/8w1qz/a-comparative-study-of-gradient-nonlinearity-correction-strategies-for-processing-diffusion-data-obtained-with-ultra-strong-gradient-mri-scanners
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Publisher's version
OA_Rudrapatna_2020_A_comparative_study_of_gradient_nonlinearity.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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