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.