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Abstract #0904

Multi-delay ASL perfusion imaging: impact of modeling dispersion and interaction with denoising strategies

Sara Pires Monteiro1, Joana Pinto2, Michael Chappell3, Ana Fouto1, Miguel Viana-Baptista4, Pedro Vilela5, and Patrícia Figueiredo1
1Department of Bioengineering, ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal, 2Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 3Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nothingam, United Kingdom, 4Neurology Department, Hospital Egas Moniz, Centro Hospitalar de Lisboa Ocidental; CEDOC - Nova Medical School, New University of Lisbon, Lisbon, Portugal, 5Imaging Department, Hospital da Luz, Lisbon, Portugal


Arterial spin labeling (ASL) acquisitions at multiple post-labeling delays allow for appropriate kinetic models to be fitted to the data, potentially providing more accurate perfusion quantification. We investigated the influence of denoising strategies based on repetition averaging and ICA, together with the choice of an extended kinetic model with or without dispersion, on multi-delay ASL measurements from a group of small vessel disease patients and their age-matched controls. While ICA denoising generally improved model fitting, repetition averaging interacted with modeling dispersion and subject group, significantly impacting the estimation of perfusion and macrovascular contributions, mostly in arterial locations and with pathology.

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