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Abstract #1556

Subjective quality assessment of under-sampled compressed sensing and parallel imaging MRI reconstructions

Mohammad Kayvanrad 1,2 , Amy Lin 3 , Rohit Joshi 3 , Jack Chiu 3 , and Terry Peters 1,2

1 Biomedical Engineering, University of Western Ontario, London, Ontario, Canada, 2 Robarts Research Institute, University of Western Ontario, London, Ontario, Canada, 3 Medical Imaging, University of Western Ontario, London, Ontario, Canada

While the quality of under-sampled MRI reconstructions is commonly evaluated based on quantitative metrics, such as the error with respect to the fully-sampled reference, such quantitative measures do not necessarily correlated with the subjective quality as perceived by radiologists and other expert end users. Therefore, unless accompanied by subjective measurements, quantitative quality metrics will be of limited clinical impact. This abstract presents the results of our experiments aimed towards subjective quality assessment of under-sampled MRI reconstructions for specific clinical applications. Particularly, it is shown that the advantages of different reconstructions greatly depend on the underlying clinical application.

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