Abstract #1385

Multi-Channel Spectroscopic Imaging Reconstruction using Water-Referencing with Compressed Sensing

Maryam Vareth^1,2, Eugene Ozhinsky^1,2, Sarah J. Nelson^1,3

¹Surbeck Laboratory of Advanced Imaging, Department of Radiology & Biomedical Imaging, Univ. of California, San Francisco, San Francisco, CA, United States; ²UCSF/UCBerkeley Joint Graduate Group in Bioengineering, Univ. of California, San Francisco, San Francisco, CA, United States; ³Univ. of California, San Francisco, Department of Bioengineering & Therapeutic Sciences, San Francisco, CA, United States

In this study we have implemented the compressed sensing algorithm with an efficient reconstruction technique to obtain optimal phase estimation for 3D MRSI using non-water suppressed spectra. Compressed sensing was shown to reduce acquisition time for water referencing spectra by 5x without negatively affecting the quality of phase estimation.