R-fMRI reconstruction from k–t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization

Author:

Kulkarni Prachi H.,Merchant S.N.,Awate Suyash P.ORCID

Funder

Department of Biotechnology

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference53 articles.

1. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE Trans. Signal Process.,2006

2. Spatiotemporal dictionary learning for undersampled dynamic MRI reconstruction via joint frame-based and dictionary-based sparsity;Awate,2012

3. Compressed sensing HARDI via rotation-invariant concise dictionaries, flexible k-space undersampling, and multiscale spatial regularity;Awate,2013

4. Robust dictionary learning on the Hilbert sphere in kernel feature space;Awate,2016

5. An MCMC method for uncertainty quantification in nonnegativity constrained inverse problems;Bardsley;Inverse Probl. Sci. Eng.,2012

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