Simultaneous Acquisition of Diffusion Tensor and Dynamic Diffusion MRI.

Background: Dynamic diffusion magnetic resonance imaging (ddMRI) metrics can assess transient microstructural alterations in tissue diffusivity but requires additional scan time hindering its clinical application. Purpose: To determine whether a diffusion gradient table can simultaneously acquire data to estimate dynamic and diffusion tensor imaging (DTI) metrics. Study Type: Prospective. Subjects: Seven healthy subjects, 39 epilepsy patients (15 female, 31 male, age ± 15). Field Strength/Sequence: Two‐dimensional diffusion MRI (b = 1000 s/mm2) at a field strength of 3 T. Sessions in healthy subjects—standard ddMRI (30 directions), standard DTI (15 and 30 directions), and nested cubes scans (15 and 30 directions). Sessions in epilepsy patients—two 30 direction (standard ddMRI, 10 nested cubes) or two 15 direction scans (standard DTI, 5 nested cubes). Assessment: Fifteen direction DTI was repeated twice for within‐session test–retest measurements in healthy subjects. Bland–Altman analysis computed bias and limits of agreement for DTI metrics using test–retest scans and standard 15 direction vs. 5 nested cubes scans. Intraclass correlation (ICC) analysis compared tensor metrics between 15 direction DTI scans (standard vs. 5 nested cubes) and the coefficients of variation (CoV) of trace and apparent diffusion coefficient (ADC) between 30 direction ddMRI scans (standard vs. 10 nested cubes). Statistical Tests: Bland–Altman and ICC analysis using a P‐value of 0.05 for statistical significance. Results: Correlations of mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were strong and significant in gray (ICC > 0.95) and white matter (ICC > 0.95) between standard vs. nested cubes DTI acquisitions. Correlation of white matter fractional anisotropy was also strong (ICC > 0.95) and significant. ICCs of the CoV of dynamic ADC measured using repeated cubes and nested cubes acquisitions were modest (ICC >0.60), but significant in gray matter. Conclusion: A nested cubes diffusion gradient table produces tensor‐based and dynamic diffusion measurements in a single acquisition. Level of Evidence: 2 Technical Efficacy: Stage 1 [ABSTRACT FROM AUTHOR]