Meeting Banner
Abstract #4223

Evaluation of Compressed Sensing MR Reconstruction Quality Using Signed Just Noticeable Difference (JND) Analysis

Michelle Yan1, Jeff Johnson1, Xiao Chen2, Li Pan2, Ti-Chiun Chang1, Yunqiang Chen1, Tong Fang1

1Siemens Corporate Research, Princeton, NJ, United States; 2Center for Applied Medical Imaging, Siemens Corporate Research, Baltimore, MD, United States

We propose to incorporate human perception model into assessing the quality of compressed sensing MR reconstruction algorithms. More specifically, we seek to measure the perceptual changes or degradation in reconstructed MR images using the signed just noticeable difference (JND) analysis, providing an overall quality color map or score for each MR image under consideration. Red color indicates positive (added) changes; blue color indicates negative (lost) changes. The lighter a JND map in color, the better a reconstruction method performs. The result has demonstrated potential value of JND maps in assessing image quality and comparing the overall performance of MR reconstruction methods.