Joshua D. Trzasko1, Armando Manduca1, Matt A. Bernstein1
1Mayo Clinic, Rochester, MN, United States
To date, the most successful applications of Compressive Sensing (CS) to MRI have focused on situations like contrast-enhanced MR angiography where the information of interest is represented by high-contrast features. However, many diagnostic tasks in clinical MRI are more closely related to low-contrast object detectability (LCOD) than high-contrast detectablility. In this work, we investigate the potential of the CS paradigm for LCOD and compare its performance against more widely-used approaches based on of zero-filling.