Meeting Banner
Abstract #2272

Maximum Entropy Reconstruction of Correlated Spectroscopy of Human Breast in vivo

Brian L. Burns1, 2, Jon K. Furuyama3, Neil Wilson3, Nicki DeBruhl3, Alex Bui2, 3, M. Albert Thomas3

1Biomedical Engineering, UCLA, Los Angeles, CA, United States; 2Medical Imaging Informatics (MII), UCLA, Los Angeles, CA, United States; 3Department of Radiological Sciences, UCLA

2D Localized-Correlated Spectroscopy (L-COSY) has been shown to be a powerful diagnostic tool in breast cancer tumor classification. However, in order to reduce the scan time to a clinically acceptable level, the number of t1 increments used to construct the indirect spectral dimension must be greatly reduced, sacrificing spectral resolution and reducing its diagnostic potential. By under-sampling the indirect spectral dimension to only 22 t1 lines and reconstructing the fully-sampled spectra using Maximum Entropy image reconstruction, a 2x acceleration of the in vivo L-COSY sequence has been achieved, which shows under-sampled spectra with similar spectral characteristics to fully sampled spectra.