Beyond Low Rank + Sparse: Multi-scale Low Rank Reconstruction for Dynamic Contrast Enhanced Imaging
نویسندگان
چکیده
PURPOSE: Dynamic Contrast Enhanced (DCE) MRI is a powerful method that can provide comprehensive information to characterize lesions. High temporal resolution is often desired for 3D DCE, but at the cost of lower spatial resolution. Low rank / partial separable methods offer an effective way of balancing this tradeoff by exploiting spatio-temporal correlations of dynamic images. However, existing low rank methods model contrast dynamics either globally, locally or globally with sparsity and do not capture spatio-temporal correlations in intermediate scales. In this work, we present a new multi-scale low rank reconstruction method that can effectively capture spatio-temporal correlations at different scales, thereby providing a more accurate reconstruction.
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