Abstract #3973

Investigating the Effect of Flow Compensation Schemes and Processing Pipelines on the Accuracy of Venous Quantitative Susceptibility Mapping

Ronja C. Berg¹, Christine Preibisch¹, Claus Zimmer¹, David L. Thomas^2,3, Karin Shmueli⁴, and Emma Biondetti⁵

¹School of Medicine, Department of Neuroradiology, Technical University of Munich, Munich, Germany, ²Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, ³Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, ⁴Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, ⁵Institut du Cerveau – ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France

Venous quantitative susceptibility mapping (QSM) enables quantification of venous oxygenation. Flow-compensated acquisition is generally recommended for venous QSM, although its effect on the accuracy of venous susceptibility values has not been systematically evaluated. Moreover, QSM processing methods tend to be optimized for brain parenchyma tissues rather than veins. Here, we compared five different acquisition protocols (incorporating distinct flow compensation schemes) and six QSM processing methods in ten healthy volunteers. We found that venous susceptibility values depend strongly on the QSM pipeline (effect size η_p²=0.861) and much less on acquisition parameters including flow compensation (effect size η_p²=0.016).

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