Abstract #4932

Quantitative susceptibility mapping for routine clinical use – An inline automated QSM reconstruction pipeline

Ashley Wilton Stewart¹, Kieran O'Brien^1,2, Jinsuh Kim³, Bénédicte Maréchal^4,5,6, Fatimah Nasrallah⁷, Michael Kean⁸, Markus Barth¹, and Steffen Bollmann¹

¹Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, ²Siemens Helathcare Pty Ltd, Brisbane, Australia, ³Department of Radiology, University of Alabama Birmingham, Birmingham, AL, United States, ⁴Advanced Clinical Imaging Technology, Siemens Helathcare, Lausanne, Switzerland, ⁵Department of Radiology, CHUV, Lausanne, Switzerland, ⁶LTS5, EPFL, Lausanne, Switzerland, ⁷Queensland Brain Institute, University of Queensland, Brisbane, Australia, ⁸Royal Children's Hospital, Melbourne, Australia

Quantitative susceptibility mapping (QSM) is a post-processing technique for gradient-recalled-echo (GRE) phase data, which provides information about tissue composition complementary to common Susceptibility Weighted Imaging (SWI). To date, QSM’s multiple complex processing steps has limited its clinical application. In this work, we present an automated and robust inline QSM post-processing pipeline compatible with flow-compensated GRE and VIBE sequences. The QSM pipeline includes morphological and atlas-based segmentation, two different QSM algorithms and is compatible with SWI processing. Two clinical cases of QSM in Traumatic Brain Injury and Multiple Sclerosis are presented.

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