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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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