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ExploreASL: an image processing pipeline for multi-center ASL perfusion MRI studies

Research output: Contribution to journalArticle

Henk J M M Mutsaerts, Jan Petr, Paul Groot, Pieter Vandemaele, Silvia Ingala, Andrew D Robertson, Lena Václavů, Inge Groote, Hugo Kuijf, Fernando Zelaya, Owen O'Daly, Saima Hilal, Alle Meije Wink, Ilse Kant, Matthan W A Caan, Catherine Morgan, Jeroen de Bresser, Elisabeth Lysvik, Anouk Schrantee, Astrid Bjørnebekk & 23 more Patricia Clement, Zahra Shirzadi, Joost P A Kuijer, Viktor Wottschel, Udunna C Anazodo, Dasja Pajkrt, Edo Richard, Reinoud P H Bokkers, Liesbeth Reneman, Mario Masellis, Matthias Günther, Bradley J MacIntosh, Eric Achten, Michael A Chappell, Matthias J P van Osch, Xavier Golay, David L Thomas, Enrico de Vita, Atle Bjørnerud, Aart Nederveen, Jeroen Hendrikse, Iris Asllani, Frederik Barkhof

Original languageEnglish
Pages (from-to)117031
JournalNeuroImage
DOIs
Publication statusE-pub ahead of print - 8 Jun 2020

Bibliographical note

Copyright © 2020. Published by Elsevier Inc.

King's Authors

Abstract

Arterial spin labeling (ASL) has undergone significant development since its inception, with a focus on improving standardization and reproducibility of its acquisition and quantification. In a community-wide effort towards robust and reproducible clinical ASL image processing, we developed the software package ExploreASL, allowing standardized analyses across centers and scanners. The procedures used in ExploreASL capitalize on published image processing advancements and address the challenges of multi-center datasets with scanner-specific processing and artifact reduction to limit patient exclusion. ExploreASL is self-contained, written in MATLAB and based on Statistical Parameter Mapping (SPM) and runs on multiple operating systems. To facilitate collaboration and data-exchange, the toolbox follows several standards and recommendations for data structure, provenance, and best analysis practice. ExploreASL was iteratively refined and tested in the analysis of >10,000 ASL scans using different pulse-sequences in a variety of clinical populations, resulting in four processing modules: Import, Structural, ASL, and Population that perform tasks, respectively, for data curation, structural and ASL image processing and quality control, and finally preparing the results for statistical analyses on both single-subject and group level. We illustrate ExploreASL processing results from three cohorts: perinatally HIV-infected children, healthy adults, and elderly at risk for neurodegenerative disease. We show the reproducibility for each cohort when processed at different centers with different operating systems and MATLAB versions, and its effects on the quantification of gray matter cerebral blood flow. ExploreASL facilitates the standardization of image processing and quality control, allowing the pooling of cohorts which may increase statistical power and discover between-group perfusion differences. Ultimately, this workflow may advance ASL for wider adoption in clinical studies, trials, and practice.

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