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
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, a...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
August 2024
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| In: |
Magnetic resonance in medicine
Year: 2024, Volume: 92, Issue: 2, Pages: 836-852 |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.30081 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1002/mrm.30081 Verlag, kostenfrei, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.30081 
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| Author Notes: | 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 |
MARC
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| 100 | 1 | |a Paschoal, Andre M. |e VerfasserIn |0 (DE-588)1339944987 |0 (DE-627)1899455000 |4 aut | |
| 245 | 1 | 0 | |a Reproducibility of arterial spin labeling cerebral blood flow image processing |b a report of the ISMRM open science initiative for perfusion imaging (OSIPI) and the ASL MRI challenge |c 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 |
| 264 | 1 | |c August 2024 | |
| 300 | |b Illustrationen | ||
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| 500 | |a Zuerst veröffentlicht: 19. März 2024 | ||
| 500 | |a Gesehen am 09.09.2024 | ||
| 520 | |a 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. | ||
| 650 | 4 | |a ASL | |
| 650 | 4 | |a cerebral blood flow | |
| 650 | 4 | |a challenges | |
| 650 | 4 | |a image analysis | |
| 650 | 4 | |a reproducibility | |
| 700 | 1 | |a Woods, Joseph G. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Pinto, Joana |e VerfasserIn |4 aut | |
| 700 | 1 | |a Bron, Esther E. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Petr, Jan |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kennedy McConnell, Flora A. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Bell, Laura |e VerfasserIn |4 aut | |
| 700 | 1 | |a Dounavi, Maria-Eleni |e VerfasserIn |4 aut | |
| 700 | 1 | |a van Praag, Cassandra Gould |e VerfasserIn |4 aut | |
| 700 | 1 | |a Mutsaerts, Henk J. M. M. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Taylor, Aaron Oliver |e VerfasserIn |4 aut | |
| 700 | 1 | |a Zhao, Moss Y. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Brumer, Irène |d 1996- |e VerfasserIn |0 (DE-588)1225372178 |0 (DE-627)1744976732 |4 aut | |
| 700 | 1 | |a Chan, Wei Siang Marcus |e VerfasserIn |0 (DE-588)1351356607 |0 (DE-627)1912779420 |4 aut | |
| 700 | 1 | |a Toner, Jack |e VerfasserIn |4 aut | |
| 700 | 1 | |a Hu, Jian |e VerfasserIn |4 aut | |
| 700 | 1 | |a Zhang, Logan X. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Domingos, Catarina |e VerfasserIn |4 aut | |
| 700 | 1 | |a Monteiro, Sara P. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Figueiredo, Patrícia |e VerfasserIn |4 aut | |
| 700 | 1 | |a Harms, Alexander G. J. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Padrela, Beatriz E. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tham, Channelle |e VerfasserIn |4 aut | |
| 700 | 1 | |a Abdalle, Ahmed |e VerfasserIn |4 aut | |
| 700 | 1 | |a Croal, Paula L. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Anazodo, Udunna |e VerfasserIn |4 aut | |
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| 773 | 1 | 8 | |g volume:92 |g year:2024 |g number:2 |g month:08 |g pages:836-852 |g extent:17 |a 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 |
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