Abstract #0384

Low-rank based compartmentalized reconstruction algorithm for high resolution MRSI without lipid suppression methods

Ipshita Bhattacharya¹ and Mathews Jacob¹

¹Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, United States

A novel compartmental low rank algorithm and data acquisition method for high resolution MR spectroscopic imaging without the use of any lipid suppression methods is introduced. The field inhomogeneity compensated data is modeled as the sum of a lipid dataset and a metabolite dataset using the spatial compartmental information obtained from the water reference data. These datasets are modelled to be low-rank subspaces and are assumed to be mutually orthogonal. The high resolution spiral acquisition method achieves in plane resolution of upto 1.8x1.8 mm² in 7.2 mins. Recovery from these measurements is posed as a low rank recovery problem. Experiments on in-vivo data demonstrates comparable results for both lipid suppressed and lipid unsuppressed data.

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