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. : Jyväskylän yliopisto.


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

Open Access: Publication published in an 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


Last updated on 2020-18-10 at 21:45