Quantitative susceptibility mapping allows the determination of a basic physical property in vivo. Early concepts for QSM were introduced a decade ago and more refined methods have been proposed recently to allow the calculation of magnetic susceptibility from a single orientation, in a clinical setup, and with low reconstruction artefacts.
Described in: ** Langkammer, C; Bredies, K; Poser, BA; Barth, M; Reishofer, G; Fan, AP; Bilgic, B; Fazekas, F; Mainero; C; Ropele, S
Fast Quantitative Susceptibility Mapping using 3D EPI and Total Generalized Variation.
Neuroimage. 2015 May 1;111:622-30. doi: 10.1016/j.neuroimage.2015.02.041. PubMed ( PDF)
Download: Python source code for total generalized variation (TGV) based QSM including 3D EPI test data (68 MB) from the paper.
Siemens has a WIP package for Aera, Skyra, Verio and Prisma scanners (WIP 1122A QSM) implemented by Kieran O’Brien.
Related: Martin Soellrad's R2* mapping and correction toolbox based on this MRM paper and Christian Tinauer's relaxometry tool, to accelerate R2*, T2, or T1 mapping using a CUDA capable graphic card (a CPU version is provided as well).
Together with Steffen Bollmann we are involved in the development of DeepQSM and SHARQnet. Stefan Bollmann has a python version of DeepQSM online in a Jupyter/Colab notebook, which can be tested directly in the browser without installation and GPU. Stefan Heber has written a DeepQSM extension, where background field removal and dipole inversion are performed in a single feed forward network architecture.
MRI data and Matlab source code: qsm_recon_challenge_2016.zip (240 MB).
Paper of the QSM reconstruction challenge: mrm26830.pdf (MRM webpage: http://onlinelibrary.wiley.com/doi/10.1002/mrm.26830/full).
We thank all participants of the 4th International Workshop on MRI Phase Contrast & Quantitative Susceptibility Mapping in Graz!
Pictures and program at the homepage of the QSM workshop 2016.
This site: http://qsm.neuroimaging.at/