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Verfasst von:Paschoal, Andre M. [VerfasserIn]   i
 Woods, Joseph G. [VerfasserIn]   i
 Pinto, Joana [VerfasserIn]   i
 Bron, Esther E. [VerfasserIn]   i
 Petr, Jan [VerfasserIn]   i
 Kennedy McConnell, Flora A. [VerfasserIn]   i
 Bell, Laura [VerfasserIn]   i
 Dounavi, Maria-Eleni [VerfasserIn]   i
 van Praag, Cassandra Gould [VerfasserIn]   i
 Mutsaerts, Henk J. M. M. [VerfasserIn]   i
 Taylor, Aaron Oliver [VerfasserIn]   i
 Zhao, Moss Y. [VerfasserIn]   i
 Brumer, Irène [VerfasserIn]   i
 Chan, Wei Siang Marcus [VerfasserIn]   i
 Toner, Jack [VerfasserIn]   i
 Hu, Jian [VerfasserIn]   i
 Zhang, Logan X. [VerfasserIn]   i
 Domingos, Catarina [VerfasserIn]   i
 Monteiro, Sara P. [VerfasserIn]   i
 Figueiredo, Patrícia [VerfasserIn]   i
 Harms, Alexander G. J. [VerfasserIn]   i
 Padrela, Beatriz E. [VerfasserIn]   i
 Tham, Channelle [VerfasserIn]   i
 Abdalle, Ahmed [VerfasserIn]   i
 Croal, Paula L. [VerfasserIn]   i
 Anazodo, Udunna [VerfasserIn]   i
Titel:Reproducibility of arterial spin labeling cerebral blood flow image processing
Titelzusatz:a report of the ISMRM open science initiative for perfusion imaging (OSIPI) and the ASL MRI challenge
Verf.angabe:Andre M. Paschoal, Joseph G. Woods, Joana Pinto, Esther E. Bron, Jan Petr, Flora A. Kennedy McConnell, Laura Bell, Maria-Eleni Dounavi, Cassandra Gould van Praag, Henk J.M.M. Mutsaerts, Aaron Oliver Taylor, Moss Y. Zhao, Irène Brumer, Wei Siang Marcus Chan, Jack Toner, Jian Hu, Logan X. Zhang, Catarina Domingos, Sara P. Monteiro, Patrícia Figueiredo, Alexander G.J. Harms, Beatriz E. Padrela, Channelle Tham, Ahmed Abdalle, Paula L. Croal, Udunna Anazodo
E-Jahr:2024
Jahr:August 2024
Umfang:17 S.
Illustrationen:Illustrationen
Fussnoten:Zuerst veröffentlicht: 19. März 2024 ; Gesehen am 09.09.2024
Titel Quelle:Enthalten in: Magnetic resonance in medicine
Ort Quelle:New York, NY [u.a.] : Wiley-Liss, 1984
Jahr Quelle:2024
Band/Heft Quelle:92(2024), 2 vom: Aug., Seite 836-852
ISSN Quelle:1522-2594
Abstract: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.
DOI:doi:10.1002/mrm.30081
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1002/mrm.30081
 kostenfrei: Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.30081
 DOI: https://doi.org/10.1002/mrm.30081
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:ASL
 cerebral blood flow
 challenges
 image analysis
 reproducibility
K10plus-PPN:1902168623
Verknüpfungen:→ Zeitschrift

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