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dc.contributor.authorPryde, Michelle Christina
dc.date.accessioned2022-09-01T15:35:39Z
dc.date.available2022-09-01T15:35:39Z
dc.date.issued2022-09-01
dc.identifier.urihttp://hdl.handle.net/10222/81962
dc.descriptionClinical application of a novel MRI system for accelerating diagnoses of acute stroke in emergency medicine.en_US
dc.description.abstractAccelerated MRI is key for emergency medicine situations like acute ischemic stroke (AIS). Though acceleration alters image quality, neuroradiologists may remain able to report stroke pathology. This thesis examines trade-offs between acceleration factor (R) and neuroradiologists' task-specific diagnostic confidence in reporting AIS and chronic stroke, and assesses correlations between confidence and image quality metrics (IQMs). 18 participants were scanned using 0.5 Tesla MRI. Image data were retrospectively undersampled (R = 1-7X) and reconstructed via compressed sensing. Diagnostic confidence was ranked (1-5 Likert scale) and was correlated to IQMs via non-linear regression modelling. Neuroradiologists’ confidence remained high at R = 7X (p > 0.05) for AIS but decreased at R = 3X (p < 0.05) for chronic stroke. No IQMs correlated with confidence for AIS but all correlated to various degrees with confidence for chronic stroke, suggesting IQM performance does not necessarily indicate an image’s usefulness for a specific diagnostic task.en_US
dc.language.isoenen_US
dc.subjectMagnetic Resonance Imagingen_US
dc.subjectdiagnostic imagingen_US
dc.subjectstrokeen_US
dc.subjectneuroradiologyen_US
dc.titleExamining Neuroradiologists’ Task-Specific Diagnostic Confidence in Reporting Acute and Chronic Stroke for Retrospectively Accelerated 0.5 T MR Imagesen_US
dc.date.defence2022-07-07
dc.contributor.departmentSchool of Biomedical Engineeringen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorDr. Jeremy Brownen_US
dc.contributor.thesis-readerDr. James Riouxen_US
dc.contributor.thesis-readerDr. Tim Bardouilleen_US
dc.contributor.thesis-readerDr. Kimberly Breweren_US
dc.contributor.thesis-supervisorDr. Steven Beyeaen_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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