ExploreASL: an image processing pipeline for multi-center ASL perfusion MRI studies
Author:
Mutsaerts HenriORCID, Petr Jan, Groot PaulORCID, Vandemaele Pieter, Ingala SilviaORCID, Robertson Andrew DORCID, Václavů Lena, Groote Inge, Kuijf HugoORCID, Zelaya FernandoORCID, O’Daly Owen, Hilal SaimaORCID, Wink Alle Meije, Kant IlseORCID, Caan Matthan W.A.ORCID, Morgan CatherineORCID, de Bresser Jeroen, Lysvik ElisabethORCID, Schrantee AnoukORCID, Bjørnebekk AstridORCID, Clement PatriciaORCID, Shirzadi ZahraORCID, Kuijer Joost P.A.ORCID, Anazodo Udunna C.ORCID, Pajkrt DasjaORCID, Richard EdoORCID, Bokkers Reinoud P.H.ORCID, Reneman Liesbeth, Masellis MarioORCID, Günther Matthias, MacIntosh Bradley J.ORCID, Achten EricORCID, Chappell Michael A.ORCID, van Osch Matthias J.P., Golay XavierORCID, Thomas David L.ORCID, de Vita EnricoORCID, Bjørnerud Atle, Nederveen AartORCID, Hendrikse JeroenORCID, Asllani IrisORCID, Barkhof FrederikORCID
Abstract
AbstractArterial 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. The toolbox adheres to previously defined international standards 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 to increase statistical power and discover between-group perfusion differences. Ultimately, this workflow may advance ASL for wider adoption in clinical studies, trials, and practice.
Publisher
Cold Spring Harbor Laboratory
Reference147 articles.
1. Ahlgren, A. , Wirestam, R. , Knutsson, L. , Petersen, E.T. , 2018. Improved calculation of the equilibrium magnetization of arterial blood in arterial spin labeling. Magn. Reson. Med. 1–9. 2. Partial volume correction of brain perfusion estimates using the inherent signal data of time-resolved arterial spin labeling 3. Test-retest reliability of cerebral blood flow in healthy individuals using arterial spin labeling: Findings from the EMBARC study;Magn. Reson. Imaging,2018 4. Alsop, D.C. , Detre, J.A. , 1999. Background suppressed 3D RARE ASL perfusion imaging, in: International Society for Magnetic Resonance in Medicine. Philadelphia, p. 601. 5. Reduced Transit-Time Sensitivity in Noninvasive Magnetic Resonance Imaging of Human Cerebral Blood Flow
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|