G5 Doctoral dissertation (article)
Data augmentation under Rician noise model in diffusion MRI with applications to human brain studies (2019)
Liu, J. (2019). Data augmentation under Rician noise model in diffusion MRI with applications to human brain studies [Doctoral dissertation]. Jyväskylän yliopisto. JYU Dissertations, 93. http://urn.fi/URN:ISBN:978-951-39-7787-0
JYU authors or editors
Publication details
All authors or editors: Liu, Jia
ISBN: 978-951-39-7787-0
Journal or series: JYU Dissertations
ISSN: 2489-9003
Publication year: 2019
Number in series: 93
Number of pages in the book: 83
Publisher: Jyväskylän yliopisto
Place of Publication: Jyväskylä
Publication country: Finland
Publication language: English
Persistent website address: http://urn.fi/URN:ISBN:978-951-39-7787-0
Publication open access: Openly available
Publication channel open access: Open Access channel
Additional information: Artikkeliväitöskirjan yhteenveto-osa ja 4 eripainosta.
Keywords: magnetic resonance imaging; diffusion-weighted imaging; diffusion tensor imaging; signal analysis; noise (radio technology); statistical methods; linear models; Bayesian analysis; Monte Carlo methods
Free keywords: Bayesian regularization; diffusion magnetic resonance imaging; constrained diffusion kurtosis imaging; expectation maximization; Fisher scoring; generalized linear modeling; high angular resolution diffusion imaging; positivity condition; Markov chain Monte Carlo; maximum likelihood estimation; Rician noise; spherical harmonics; statistical inference; variational Bayes
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2019