Blood‐brain barrier water exchange measurements using FEXI: Impact of modeling paradigm and relaxation time effects

Author:

Powell Elizabeth1ORCID,Ohene Yolanda23,Battiston Marco4ORCID,Dickie Ben R.35,Parkes Laura M.23ORCID,Parker Geoff J. M.146ORCID

Affiliation:

1. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering University College London London UK

2. Division of Psychology, Communication and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine and Health University of Manchester Manchester UK

3. Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre University of Manchester Manchester UK

4. Queen Square MS Centre UCL Institute of Neurology, University College London London UK

5. Division of Informatics, Imaging and Data Sciences School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester Manchester UK

6. Bioxydyn Limited Manchester UK

Abstract

PurposeTo evaluate potential modeling paradigms and the impact of relaxation time effects on human blood‐brain barrier (BBB) water exchange measurements using FEXI (BBB‐FEXI), and to quantify the accuracy, precision, and repeatability of BBB‐FEXI exchange rate estimates at 3.MethodsThree modeling paradigms were evaluated: (i) the apparent exchange rate (AXR) model; (ii) a two‐compartment model () explicitly representing intra‐ and extravascular signal components, and (iii) a two‐compartment model additionally accounting for finite compartmental and relaxation times (). Each model had three free parameters. Simulations quantified biases introduced by the assumption of infinite relaxation times in the AXR and models, as well as the accuracy and precision of all three models. The scan–rescan repeatability of all paradigms was quantified for the first time in vivo in 10 healthy volunteers (age range 23–52 years; five female).ResultsThe assumption of infinite relaxation times yielded exchange rate errors in simulations up to 42%/14% in the AXR/ models, respectively. Accuracy was highest in the compartmental models; precision was best in the AXR model. Scan–rescan repeatability in vivo was good for all models, with negligible bias and repeatability coefficients in grey matter of , , and .ConclusionCompartmental modelling of BBB‐FEXI signals can provide accurate and repeatable measurements of BBB water exchange; however, relaxation time and partial volume effects may cause model‐dependent biases.

Funder

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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