Lixin Shi1,
Ovidiu C. Andronesi2, Haitham Hassanieh1, Badih Ghazi1,
Dina Katabi1, Elfar Adalsteinsson1, 3
1Electrical
Engineering and Computer Science Department, Massachusetts Institute of
Technology, Cambridge, MA, United States; 2Martinos Center for
Biomedical Imaging, Radiology Department, Massachusetts General Hospital,
Harvard Medical School, Boston, MA, United States; 3Harvard-MIT
Division of Health Sciences and Technology, Cambridge, MA, United States
In-vivo localized 2D Correlation Spectroscopy (COSY) enables detection of new molecular biomarkers of disease. The challenges for this method are, however, long acquisition times and truncation artifacts along the f1 frequency dimension that may obscure the cross-diagonal peaks. We propose to address these challenges by adapting the recently developed sparse-FFT algorithms, which optimize reconstruction of sparse signals in the Fourier domain. Our preliminary results demonstrate that sparse-FFT can reduce measurement time of 2D COSY by almost a factor of three, eliminates t1 truncation artifacts resulting from the ringing tails of the diagonal peaks, and improves SNR and resolution of cross-peaks.