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Abstract #3901

The Performance of Image Quality Metrics Depends on the Diagnostic Task: A Case Study in Stroke MRI

Michelle Pryde1,2, Sarah Reeve2,3, Taylor Bouchie2,4, Elena Adela Cora5,6, David Volders 5,6, Matthias Schmidt5,6, Mohamed Abdolell5, Chris Bowen2,3,5, James Rioux2,3,5, and Steven Beyea1,2,3,5
1School of Biomedical Engineering, Dalhousie University, Halifax, NS, Canada, 2Biomedical Translational Imaging Centre, QEII Health Sciences Centre, Halifax, NS, Canada, 3Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada, 4Medicine, Dalhousie University, Halifax, NS, Canada, 5Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada, 6Diagnostic Imaging, Nova Scotia Health, Halifax, NS, Canada


Image Quality Metrics (IQMs) have allowed for objective analysis of MR images in order to optimize protocols or reconstruction algorithms, for example. However, the performance of IQMs depends on the diagnostic task. Therefore, the aim of this study was to explore how well leading IQMs correlate with, or predict, neuroradiologists’ diagnostic confidence in acute and chronic stroke diagnostic tasks. We observed that, although the IQMs in question calculated for T2 FLAIR images could be used to predict neuroradiologists’ diagnostic confidence scores for the chronic stroke diagnostic task, they did not correlate with diagnostic confidence scores for acute stroke.

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