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Abstract #2043

Maximum Entropy Reconstruction of Non-Uniformly Under-Sampled Multidimensional Spectroscopic Imaging in vivo

Brian L. Burns1, Neil Wilson2, M. Albert Thomas, 23

1Department of Biomedical Engineering, UCLA, Los Angeles, CA, United States; 2Biomedical Physics IDP, UCLA, Los Angeles, CA, United States; 3Radiology, UCLA, Los Angeles, CA, United States


This work accelerates the acquisition of 4D MRSI data (2 spectral x 2 spatial) by under-sampling a spatial and a spectral dimension and reconstructing the missing data using Maximum Entropy (MaxEnt) non-linear reconstruction. Our results show that non-uniform under-sampling combined with MaxEnt is a viable way to reduce the scan times required of 4D MRSI to a clinically acceptable 6 minutes.