Abstract #2851

The CALIPR framework comprehensively improves acquisition, reconstruction & analysis of multi-component relaxation imaging

Adam V. Dvorak^1,2, Dushyant Kumar³, Guillaume Gilbert⁴, Cornelia Laule^1,2,5,6, G.R. Wayne Moore^2,6, Alex L. MacKay^1,5,7, and Shannon H. Kolind^1,2,5,8

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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