Sairam Geethanath1, Hyeon-Man Baek2, Sandeep K. Ganji2,3, Yao Ding3, Robert D. Sims4, Changho Choi2,4, Vikram D. Kodibagkar1,4
program in biomedical engineering, UT
Arlington & UT Southwestern Medical Center,
MRSI has been shown to provide valuable metabolic information critical for cancer prognosis. However, the long acquisition time associated with multidimensional MRSI is a barrier for translation of this technology to the clinic. A novel approach to reduce acquisition time of MRSI has been proposed through the application of compressive sensing. An application of such a reconstruction method has been performed for 1H MRSI of in- vitro brain phantom, in vivo brain (normal, cancer), and prostate cancer MRSI data. The results of reconstruction indicate a significant potential to reduce acquisition times for such studies by 80%.