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Abstract #2818

Case-PDM Optimized Random Acquisition in High Quality Compressed Sensing MR Image Reconstruction

Jun Miao1, Feng Huang2, David L. Wilson1,3

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

Case-PDM is applied to optimize acquisition trajectory of compressed sensing (CS). Based on the experimental results, it can be concluded 1) CS can generate significantly better images with the optimized trajectory than the experience-based trajectory when all other parameters are same; 2) The optimized trajectory trained with one data set can be successfully applied to other data sets of different objects acquired by different MR systems, different coil, and different pulse sequences if only the anatomical structure is similar.