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.