Abstract

Changes in brain stiffness can be an important biomarker for neurological disease. Magnetic resonance elastography (MRE) quantifies tissue stiffness, but the results vary between acquisition and reconstruction methods. To measure MRE repeatability and estimate the effect of different reconstruction methods and varying data quality on estimated brain stiffness. Prospective. Fifteen healthy subjects. 3T MRI, gradient-echo elastography sequence with a 50 Hz vibration frequency. Imaging was performed twice in each subject. Images were reconstructed using a curl-based and a finite-element-model (FEM)-based method. Stiffness was measured in the whole brain, in white matter, and in four cortical and four deep gray matter regions. Repeatability coefficients (RC), intraclass correlation coefficients (ICC), and coefficients of variation (CV) were calculated. MRE data quality was quantified by the ratio between shear waves and compressional waves. Median values with range are presented. Reconstruction methods were compared using paired Wilcoxon signed-rank tests, and Spearman's rank correlation was calculated between MRE data quality and stiffness. Holm-Bonferroni corrections were employed to adjust for multiple comparisons. In the whole brain, CV was 4.3% and 3.8% for the curl and the FEM reconstruction, respectively, with 4.0-12.8% for subregions. Whole-brain ICC was 0.60-0.74, ranging from 0.20 to 0.89 in different regions. RC for the whole brain was 0.14 kPa and 0.17 kPa for the curl and FEM methods, respectively. FEM reconstruction resulted in 39% higher stiffness than the curl reconstruction (P < 0.05). MRE data quality, defined as shear-compression wave ratio, was higher in peripheral regions than in central regions of the brain (P < 0.05). No significant correlations were observed between MRE data quality and stiffness estimates. MRE of the human brain is a robust technique in terms of repeatability. Caution is warranted when comparing stiffness values obtained with different techniques. 1 TECHNICAL EFFICACY STAGE: 1.

Highlights

  • Changes in brain stiffness can be an important biomarker for neurological disease

  • The Repeatability coefficients (RC) was 0.14 kPa for the whole-brain regions of interest (ROIs), while the lowest RC was observed for the frontal cortex (0.11 kPa) and the highest for hippocampus (0.43 kPa)

  • Stiffness Estimates Depend on Reconstruction Method In 15 healthy subjects, stiffness estimates depended on the reconstruction method, where the FEM reconstruction yielded a 39% higher stiffness estimate than the curl reconstruction

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Summary

Introduction

Magnetic resonance elastography (MRE) quantifies tissue stiffness, but the results vary between acquisition and reconstruction methods. Purpose: To measure MRE repeatability and estimate the effect of different reconstruction methods and varying data quality on estimated brain stiffness. Images were reconstructed using a curl-based and a finite-element-model (FEM)-based method. Reconstruction methods were compared using paired Wilcoxon signed-rank tests, and Spearman’s rank correlation was calculated between MRE data quality and stiffness. Results: In the whole brain, CV was 4.3% and 3.8% for the curl and the FEM reconstruction, respectively, with 4.0–12.8% for subregions. RC for the whole brain was 0.14 kPa and 0.17 kPa for the curl and FEM methods, respectively. MRE data quality, defined as shear-compression wave ratio, was higher in peripheral regions than in central regions of the brain (P < 0.05).

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