Abstract #3795
Adaptive Dynamic MRI Reconstruction Exploiting 3-D Spatiotemporal Non-local Low Rank and Block-wise Correlation
Ziyi Wang 1 , Sheng Fang 1 , and Hua Guo 1
1
Center for Biomedical Imaging Research,
Department of Biomedical Engineering, School of
Medicine, Tsinghua University, Beijing, Beijing, China
High spatiotemporal dynamic imaging reconstruction is a
challenging topic that has important clinical
applications [1]. k-t low-rank structure (SLR) exploits
sparsity and low-rank structure of MRI image series, and
has been successfully applied [2]. In k-t SLR, the low
rank penalty is imposed to the entire dynamic image
series, which may result in loss of fine image
structures. In this study, a k-t nonlocal SLR algorithm
(k-t nSLR) that introduces nonlocal patch similarities
is proposed [3], [4]. It imposes low rank penalty only
to patches selected out throughout the image series and
adaptively determines threshold. The in vivo dynamic
cardiac image reconstruction demonstrate that our k-t
nSLR has an enhanced performance in anatomic details
preservation.
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