Abstract #0725

QSMxT - A cross-platform, flexible, lightweight, and scalable processing pipeline for quantitative susceptibility mapping

Ashley Stewart^1,2, Simon Daniel Robinson^2,3,4, Kieran O'Brien^1,2,5, Jin Jin^1,2,5, Angela Walls⁶, Aswin Narayanan², Markus Barth^1,2,7, and Steffen Bollmann^1,2,7

¹Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Australia, ²Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, ³High Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, ⁴Department of Neurology, Medical University of Graz, Graz, Austria, ⁵Siemens Healthcare Pty Ltd, Brisbane, Australia, ⁶Clinical & Research Imaging Centre, South Australian Health and Medical Research Institute, Adelaide, Australia, ⁷School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia

We developed an open-source QSM processing framework, QSMxT, that provides a full QSM workflow including converting DICOM data to BIDS, a variety of robust masking strategies, phase unwrapping, background field correction, dipole inversion and region-of-interest analyses based on automated anatomical segmentations. We make all required external dependencies available in a reproducible and scalable analysis environment enabling users to process QSM data for large groups of participants on any operating system in a robust way.

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