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Abstract #2694

Evaluating T2* bias impact and correction strategies in quantitative proton density mapping

Evelyne Balteau1, Tobias Leutritz2, Nikolaus Weiskopf2, Enrico Reimer2, Antoine Lutti3, Martina F Callaghan4, Siawoosh Mohammadi5, and Karsten Tabelow6

1Cyclotron Research Centre - GIGA-CRC in vivo imaging, University of Liege, Liege, Belgium, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Laboratoire de Recherche en Neuroimagerie, CHUV, University of Lausanne, Lausanne, Switzerland, 4Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom, 5Institut f├╝r Systemische Neurowissenschaften, Universit├Ątsklinikum Hamburg-Eppendorf, Hamburg, Germany, 6Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany

Bias correction is an important step for achieving accurate and precise parameter quantification in MRI. Residual T2*-weighting in quantitative proton density maps estimated from short echo time FLASH images is often considered negligible, despite the potential bias. Using the hMRI toolbox, we analyse simulated FLASH-based multiparameter mapping datasets with variable noise levels. Using the quantitative maps on which the simulations are based as a gold standard, we quantified the bias caused by residual T2*-weighting. Furthermore, we evaluated a number of estimation methods in terms of their sensitivity and/or effectiveness at correcting this T2*-weighting bias, and in terms of their robustness to background noise.

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