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Abstract #4932

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

Ashley Wilton Stewart1, Kieran O'Brien1,2, Jinsuh Kim3, Bénédicte Maréchal4,5,6, 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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