Abstract #3901

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

Michelle Pryde^1,2, Sarah Reeve^2,3, Taylor Bouchie^2,4, Elena Adela Cora^5,6, David Volders ^5,6, Matthias Schmidt^5,6, Mohamed Abdolell⁵, Chris Bowen^2,3,5, James Rioux^2,3,5, and Steven Beyea^1,2,3,5

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

Synopsis

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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