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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.