Comparisons between simulated and experimental data in quantitative susceptibility maps in a 3.0T MRI-scanner
Learning Objectives
Author Block: E. G. Cuña1, E. Tuzzi2, L. Biagi3, P. Bosco3, M. Garcia1, J. Mattos1, K. Scheffler2, M. Tosetti3, G. E. Hagberg2; 1Montevideo/UY, 2Tübingen/DE, 3Pisa/IT
Purpose or Learning Objective: To compare quantitative susceptibility quantification between simulated and experimental phantom containing iron. This would help to adjust processing pipeline parameters to obtain quantitative susceptibility mapping (QSM).
Methods or Background: A phantom was constructed by inserting small vials into a cylindrical container. Vials contained FeCl2 at four different concentrations (range 0.22-1.79mM) in two forms: clustered and free. The phantom was scanned at 3.0T (Siemens Germany). Multi-echo-GRE-images (TE=6:6:30ms; TR=53ms; nominal FA=18°; voxel=600x600x600μm; GRAPPA=2). For simulations, the same geometry as the real phantom was used. Susceptibility values were assigned to three different regions: background (1ppm), body (0ppm) and iron vials. A molar susceptibility of 1ppm/mM was assigned. For clustered iron vials, random noise (with a uniform probability distribution, from 0 to 1) was generated and multiplied by the corresponding iron concentration. Phase images at TE=6ms were obtained by convolution of the phantom geometry with the macroscopic unit-dipole function. Morphology enabled dipole inversion (MEDI)2 was applied to the earliest echo-time phase images (6ms) to obtain QSM for experimental and simulated data using lambda1=1000 and lambda2=10 for background regularisation.
Results or Findings: For measured QSM images, clustered iron led to highly localised field effects, also captured by simulations. For experimental data, best curve fittings were obtained after applying a Laplacian-based unwrapping pre-processing, with determination coefficients >0.88. In the simulations, QSM-values in both clustered and free iron showed a linear increase with iron (determination coefficient >0.99). In both cases, estimated molar susceptibility was lower with clustered iron.
Conclusion: Our simulation method captures the effect of iron clustering in QSM calculations as seen in experimental phantom acquisitions.
Limitations: QSM processing pipelines need to be refined to achieve higher accuracy for local field effects, as also seen in Alzheimer’s beta-amyloid plaques.
Ethics committee approval: Not applicable.
Funding for this study: Validation EU-LACH #16/T01-0118.