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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