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Abstract #2841

Improvements in R1 mapping at ultra-low field using denoised and motion corrected field-cycling MRI in brain and head

Nicholas Senn1, Clarisse F. de Vries1,2, Reina Ayde1,3,4, Adarsh Krishna1, Vasiliki Mallikourti1, P. James Ross1, Lionel M. Broche1, Mary-Joan MacLeod3, and Gordon D. Waiter1
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Aberdeen Centre for Health Data Science, University of Aberdeen, Aberdeen, United Kingdom, 3Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 4AMT Centre, University of Aberdeen, Aberdeen, United Kingdom

Synopsis

Keywords: Low-Field MRI, Brain, Small vessel disease

Motivation: Field-cycling MRI makes it possible to characterise the clinical potential of endogenous spin-lattice R1 image contrast that arises at ultra-low-magnetic field strengths.

Goal(s): Our goal was to examine the extent translated motion correction and denoising approaches improve the utility of R1 mapping performed at ultra-low field.

Approach: : Improvements in sensitivity to differences in R1 between tissue types and fitting accuracy were determined across brain and head tissues.

Results: Improvements in sensitivity and goodness of fit were observed. Significant difference in R1 values between regions of white matter and confluent small vessel disease were observed between 0.2 - 200 mT.

Impact: The improvement in sensitivity of R1 mapping using translated motion correction and denoising approaches provides new opportunities to assess the clinical potential of new endogenous image contrast mechanism at ultra-low field strengths.

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