Compressive Sensing and Low Contrast Detectability

Joshua D. Trzasko¹, Armando Manduca¹, Matt A. Bernstein¹

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.