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Purpose: Arterial spin labeling (ASL) is a widely used contrast-free MRI method for assessing cerebral blood flow (CBF). Despite the generally adopted ASL acquisition guidelines, there is still wide variability in ASL analysis. We explored this variability through the ISMRM-OSIPI ASL-MRI Challenge, aiming to establish best practices for more reproducible ASL analysis.

Methods: Eight teams analyzed the challenge data, which included a high-resolution T1-weighted anatomical image and 10 pseudo-continuous ASL datasets simulated using a digital reference object to generate ground-truth CBF values in normal and pathological states. We compared the accuracy of CBF quantification from each team's analysis to the ground truth across all voxels and within predefined brain regions. Reproducibility of CBF across analysis pipelines was assessed using the intra-class correlation coefficient (ICC), limits of agreement (LOA), and replicability of generating similar CBF estimates from different processing approaches.

Results: Absolute errors in CBF estimates compared to ground-truth synthetic data ranged from 18.36 to 48.12 mL/100 g/min. Realistic motion incorporated into three datasets produced the largest absolute error and variability between teams, with the least agreement (ICC and LOA) with ground-truth results. Fifty percent of the submissions were replicated, and one produced three times larger CBF errors (46.59 mL/100 g/min) compared to submitted results.

Conclusions: Variability in CBF measurements, influenced by differences in image processing, especially to compensate for motion, highlights the significance of standardizing ASL analysis workflows. We provide a recommendation for ASL processing based on top-performing approaches as a step toward ASL standardization.

Titel:	Reproducibility of arterial spin labeling cerebral blood flow image processing: A report of the ISMRM open science initiative for perfusion imaging (OSIPI)_and the ASL MRI challenge.
Autor/in / Beteiligte Person:	Paschoal, AM ; Woods, JG ; Pinto, J ; Bron, EE ; Petr, J ; Kennedy McConnell, FA ; Bell, L ; Dounavi, ME ; van Praag CG ; Mutsaerts, HJMM ; Taylor, AO ; Zhao, MY ; Brumer, I ; Chan, WSM ; Toner, J ; Hu, J ; Zhang, LX ; Domingos, C ; Monteiro, SP ; Figueiredo, P ; Harms, AGJ ; Padrela, BE ; Tham, C ; Abdalle, A ; Croal, PL ; Anazodo, U
Link:	Full Text Finder (Volltext)
Zeitschrift:	Magnetic resonance in medicine, 2024-03-19
Veröffentlichung:	Ahead of Print, 2024
Medientyp:	academicJournal
ISSN:	1522-2594 (electronic)
DOI:	10.1002/mrm.30081
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [Magn Reson Med] 2024 Mar 19. <i>Date of Electronic Publication: </i>2024 Mar 19. References: Detre JA, Leigh JS, Williams DS, Koretsky AP. Perfusion imaging. Magn Reson med. 1992;23:37-45. ; Alsop DC, Detre JA, Golay X, et al. Recommended implementation of arterial spin-labeled perfusion mri for clinical applications: a consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson med. 2015;73:102-116. doi:10.1002/mrm.25197. ; Pujol S, Wells W, Pierpaoli C, et al. The DTI challenge: toward standardized evaluation of diffusion tensor imaging Tractography for neurosurgery. J Neuroimaging. 2015;25:875-882. doi:10.1111/jon.12283. ; Grissom WA, Setsompop K, Hurley SA, Tsao J, Velikina JV, Samsonov AA. Advancing RF pulse design using an open-competition format: report from the 2015 ISMRM challenge. 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Reproducibility of arterial spin labeling cerebral blood flow image processing: A report of the ISMRM open science initiative for perfusion imaging (OSIPI)_and the ASL MRI challenge.