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Abstract #2929

Selective Evaluation of Fast MRI Reconstruction Artifacts Using Case-PDM

Jun Miao1, David L. Wilson1,2

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA; 2Radiology, University Hospitals of Cleveland, Cleveland, OH, USA

The perceptual difference model (Case-PDM) is being used to quantify image quality of fast, parallel MR acquisitions and reconstruction algorithms as compared to slower, full k-space, high quality reference images. To date, most perceptual difference models average image quality over a wide range of image degradation effects. Here, we develop and evaluate a modification, which allows one to selectively quantify noise, blur, and aliasing artifacts. Results from over 120 images indicate that the PDM compares favorably to human evaluation.