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Quantitative Susceptibility Mapping for MRI part 2

version (5.1 MB) by Job
Magnitude Weighted Quantitative Susceptibility Mapping.


Updated 21 May 2015

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File ID: #48557 --> These files must be placed in the same folder!
Efficient implementation of L1-regularized magnitude weighted QSM, proposed by B. Bilgic et al.
Here the susceptibility distribution is calculated that has an optimal balance between:
- explaining the measured field (minimal residual)
- a 'crisp' appareance: minimal Total Variation between neighbouring voxels, with inclusion of the magnitude data.
Based on the method proposed by Berkin Bilgic et al.
- his software:
- his paper: Berkin Bilgic, Audrey P. Fan,Jonathan R. Polimeni,Stephen F. Cauley, Marta Bianciardi, Elfar Adalsteinsson, Lawrence L. Wald and Kawin Setsompop; "Fast quantitative susceptibility mapping with L1-regularization and automatic parameter selection" Journal of Magnetic Resonance Imaging.
Please refer to this and the reference given below when using this script.

In this work a further fourfold reduction in the needed number of calculations is proposed by 1) buffer-free parameter sweeps, 2) a Half-Fourier L2-sweep, 3) a pairwise L1-sweep, and 4) performing the Split Bregman gradient operations in the spatial domain.
A detailed description on these adaptations is currently under review as an abstract, submitted to the ESMRMB 2015, Abstract ID: #911 (under review)
"Efficient optimally L1 regularized magnitude weighted QSM", Job G Bouwman, Peter R Seevinck.
Please refer to this and the reference given above when using this script.

Cite As

Job (2022). Quantitative Susceptibility Mapping for MRI part 2 (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013b
Compatible with any release
Platform Compatibility
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