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Abstract #4049

DIM: A Diffusion Instability Measure

Tim Schmidt1,2 and Zoltan Nagy2
1ETH Zurich, Institute for Biomedical Engineering, Zurich, Switzerland, 2Laboratory for Social and Neural Systems Research (SNS), University of Zurich, Zurich, Switzerland

Synopsis

Keywords: Diffusion Analysis & Visualization, Data Analysis

Motivation: QA in diffusion MRI is challenging and rarely implemented. We provide a new QA measure that is borrowed from fMRI.

Goal(s): To test a diffusion instability measure (DIM) on HARDI data from different scanners, with and without concurrent magnetic field monitoring (FM).

Approach: We estimate the correlation coefficient matrix between all pairs of diffusion directions across voxels inside the phantom and compute a QA measure from the eigenvalues of the matrix.

Results: DIM is sensitive to data quality affected by b-values, TE, acquisition/reconstruction types. Data acquired with FM showed a DIM value that was, on average, 10 times smaller than those without FM.

Impact: We developed and tested a diffusion instability measure (DIM) that is sensitive to factors affecting image quality, such as magnetic field monitoring, f0 stabilization, TE, gradient strengths, making it a promising tool for routine diffusion MRI quality assurance.

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Keywords