Incorporating the effect of white matter microstructure in the estimation of magnetic susceptibility in ex vivo mouse brain

PurposeTo extend quantitative susceptibility mapping to account for microstructure of white matter (WM) and demonstrate its effect on ex vivo mouse brain at 16.4T.Theory and MethodsPrevious studies have shown that the MRI measured Larmor frequency also depends on local magnetic microstructure at the mesoscopic scale. Here, we include effects from WM microstructure using our previous results for the mesoscopic Larmor frequency omega Meso$$ {\overline{\Omega}}<^>{\mathrm{Meso}} $$ of cylinders with arbitrary orientations. We scrutinize the validity of our model and QSM in a digital brain phantom including omega Meso$$ {\overline{\Omega}}<^>{\mathrm{Meso}} $$ from a WM susceptibility tensor and biologically stored iron with scalar susceptibility. We also apply susceptibility tensor imaging to the phantom and investigate how the fitted tensors are biased from omega Meso$$ {\overline{\Omega}}<^>{\mathrm{Meso}} $$. Last, we demonstrate how to combine multi-gradient echo and diffusion MRI images of ex vivo mouse brains acquired at 16.4T to estimate an apparent scalar susceptibility without sample rotations.ResultsOur new model improves susceptibility estimation compared to QSM for the brain phantom. Applying susceptibility tensor imaging to the phantom with omega Meso$$ {\overline{\Omega}}<^>{\mathrm{Meso}} $$ from WM axons with scalar susceptibility produces a highly anisotropic susceptibility tensor that mimics results from previous susceptibility tensor imaging studies. For the ex vivo mouse brain we find the omega Meso$$ {\overline{\Omega}}<^>{\mathrm{Meso}} $$ due to WM microstructure to be substantial, changing susceptibility in WM up to 25% root-mean-squared-difference.Conclusion omega Meso$$ {\overline{\Omega}}<^>{\mathrm{Meso}} $$ impacts susceptibility estimates and biases susceptibility tensor imaging fitting substantially. Hence, it should not be neglected when imaging structurally anisotropic tissue such as brain WM.

Automated summary

This study aims to extend quantitative susceptibility mapping to consider the microstructure of white matter and demonstrate its effect on ex vivo mouse brain at 16.4T. The results show that the new model improves susceptibility estimation and the application of susceptibility tensor imaging produces highly anisotropic susceptibility tensors. For ex vivo mouse brain, the omega Meso due to white matter microstructure has a substantial impact on susceptibility, changing up to 25% of root-mean-squared-difference.