DCE-MRI kinetic models for measuring subtle blood-brain barrier leakage– the importance of modelling finite interstitial volume fraction
Martin Kozár1,2, Sarah Al-Bachari3, Geoff J. M. Parker4,5, Laura M. Parkes1,2, and Ben R. Dickie2,6
1Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, The University of Manchester, Manchester, United Kingdom, 3Faculty of Health and Medicine, The University of Lancaster, Lancaster, United Kingdom, 4Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 5Bioxydyn Limited, Manchester, United Kingdom, 6Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, United Kingdom
The Patlak model is commonly applied to brain DCE-MRI to quantify subtle blood-brain barrier permeability. This is based on existing evidence showing the Patlak model provides the optimal fit compared to other candidate models, including the extended Tofts model (Heye, Thrippleton et al. 2016). In this study, we compared five different tracer kinetic models in data with higher temporal resolution and determined that models which assume finite interstitial volume (ve) (e.g. extended Tofts) consistently outperform models that assume infinite ve (e.g. Patlak), particularly in gray matter.
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