Wolfgang Stefan1, Erol Yeniaras1, Ken-Pin Hwang2, Linda Chi3, Ed Jackson1, John D. Hazle1, R. Jason Stafford1
1Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States; 2Applied Science Laboratory, Healthcare Technologies,, WI, Hosuton, TX, United States; 3Diagnostic & Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
We have developed a new background suppression technique that can be used to suppress the background in MR phase images and PRF measurements. In contrast to the most common approach of high pass filtering, our approach leaves the low frequency components of the tissue intact, which enables us to make quantitative measurements of the PRF. The method separates sparse structures in the PRF from the non-sprase background by means of non-convex optimization similar to compressed sensing.