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 für Systemische Neurowissenschaften, Universitätsklinikum 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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