Abstract #3419

Applying NORDIC denoising to high-resolution T1-mapping for structural layer measures

Daniel C. Marsh¹, Michael Asghar¹, Agatha Lenartowicz², Karen J. Mullinger^1,3, and Susan T. Francis¹

¹Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, ²Department of Psychiatry & Biobehavioral Sciences, UCLA, Los Angeles, CA, United States, ³Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom

Synopsis

Keywords: Data Processing, Quantitative Imaging, layers

Motivation: High resolution T₁-mapping can become SNR limited and be highly sensitive to spatial SNR drop-offs when using surface receive coil arrays. This results in poor T₁ fits and segmentations which in turn impacts layer-specific structural measures.

Goal(s): To apply NORDIC denoising to T₁-mapping data to assess how it impacts structural layer measures.

Approach: High resolution T₁-mapping data collected using a surface coil array. NORDIC denoising applied at multiple patch sizes. Resultant T₁ and R² maps, segmentation and cortical depth profiles compared.

Results: NORDIC denoising provides visual improvements in T₁-maps with improving R² of the fit. However, smaller NORDIC patch sizes introduce smoothing.

Impact: NORDIC denoising improves quantitative high-resolution brain T₁-mapping for structural measures collected alongside layer fMRI and is beneficial for segmentation of data acquired on surface receive coils. It is important to consider smoothing introduced by smaller NORDIC patch sizes.

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