Abstract #2851
The CALIPR framework comprehensively improves acquisition, reconstruction & analysis of multi-component relaxation imaging
Adam V. Dvorak1,2, Dushyant Kumar3, Guillaume Gilbert4, Cornelia Laule1,2,5,6, G.R. Wayne Moore2,6, Alex L. MacKay1,5,7, and Shannon H. Kolind1,2,5,8
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 3Radiology, University of Pennsylvania, Philadelphia, PA, United States, 4MR Clinical Science, Philips Canada, Mississauga, ON, Canada, 5Radiology, University of British Columbia, Vancouver, BC, Canada, 6Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 7UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 8Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
Synopsis
We introduce the CALIPR framework, applied here to multi-component T2 relaxation myelin water imaging (MWI) to achieve a simultaneous increase in data quality and decrease in acquisition time. CALIPR showed robust results for data acquired with aggressive under sampling acceleration, strong agreement with a newly developed “gold-standard” reference MWI acquisition, excellent scan-rescan repeatability, and the ability to acquire whole-brain MWI in under 5 minutes.While this work demonstrates dramatic improvements the CALIPR framework brings to MWI, its utility can be extended to a wide range of both quantitative and qualitative MRI applications across different scanner vendors and field strengths.
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