Abstract #4962

**Fast $$$T_{2}^{*}$$$ and QSM using locally low rank methods for complex-valued, multi-echo GRE reconstruction**

Charles Iglehart¹, Ali Bilgin^1,2,3, and Manojkumar Saranathan^4,5

¹Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, United States, ²Biomedical Engineering, The University of Arizona, Tucson, AZ, United States, ³Medical Imaging, The University of Arizona, Tucson, AZ, United States, ⁴Radiology, UMass Chan Medical School, Worcester, MA, United States, ⁵Neuroscience, Morningside Graduate School of Biomedical Sciences, Worcester, MA, United States

Synopsis

Keywords: Image Reconstruction, Brain$$$T_{2}^{*}$$$ and quantitative susceptibility mapping are of increasing clinical interest, but typically require lengthy ME-GRE scans. To accelerate such acquisitions, we propose and implement a volumetric reconstruction method employing locally low rank (LLR) techniques to recover complex-valued ME images from highly undersampled k-space data that is suitable for parameter mapping. We present results for reconstructed magnitude and phase across multiple datasets and acceleration ratios, as well as computed $$$R_{2}^{*}$$$ and QSM from reconstructed images.

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