Exploiting sparsity and low-rank structure for the recovery of multi-slice breast MRIs with reduced sampling error.

It has been shown that, magnetic resonance images (MRIs) with sparsity representation in a transformed domain, e.g. spatial finite-differences (FD), or discrete cosine transform (DCT), can be restored from undersampled k-space via applying current compressive sampling theory. The paper presents a mo...

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Publicado en:	Medical & Biological Engineering & Computing Vol. 50; no. 9; pp. 991 - 1001
Autores principales:	Yin XX, Ng BW, Ramamohanarao K, Baghai-Wadji A, Abbott D, Yin, X X, Ng, B W-H, Ramamohanarao, K, Baghai-Wadji, A, Abbott, D
Formato:	research Journal Article
Publicado:	Springer Nature Sep2012
Acceso en línea:	Ver este registro en EBSCOhost