Abstract #2834

Investigation on Compressed Sensing Regularization Parameter using Case-PDM

Jun Miao¹, Feng Huang², David L. Wilson,³

¹Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; ²Invivo Corporation, Gainesville, FL, United States; ³Radiology, University Hospitals of Cleveland, Cleveland, OH, United States

Case-PDM is applied to investigate TV weight regularization parameter of Compressed Sensing (CS). Experimental results show that optimal TV weight varies across different imaged subject/ pulse sequence/ scanner, and may change slightly for the same data set with different sampling ratio. To achieve a high image quality CS reconstruction, a pre-calibration is necessary to find the optimal TV weight.