ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): ASL pipeline inventory

Hongli Fan, Henk J. M. M. Mutsaerts, Udunna Anazodo, Daniel Arteaga, Koen P. A. Baas, Charlotte Buchanan, Aldo Camargo, Vera C. Keil, Zixuan Lin, Thomas Lindner, Lydiane Hirschler, Jian Hu, Beatriz E. Padrela, Mohammad Taghvaei, David L. Thomas, Sudipto Dolui, Jan Petr

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

Abstract

Purpose: To create an inventory of image processing pipelines of arterial spin labeling (ASL) and list their main features, and to evaluate the capability, flexibility, and ease of use of publicly available pipelines to guide novice ASL users in selecting their optimal pipeline. Methods: Developers self-assessed their pipelines using a questionnaire developed by the Task Force 1.1 of the ISMRM Open Science Initiative for Perfusion Imaging. Additionally, each publicly available pipeline was evaluated by two independent testers with basic ASL experience using a scoring system created for this purpose. Results: The developers of 21 pipelines filled the questionnaire. Most pipelines are free for noncommercial use (n = 18) and work with the standard NIfTI (Neuroimaging Informatics Technology Initiative) data format (n = 15). All pipelines can process standard 3D single postlabeling delay pseudo-continuous ASL images and primarily differ in their support of advanced sequences and features. The publicly available pipelines (n = 9) were included in the independent testing, all of them being free for noncommercial use. The pipelines, in general, provided a trade-off between ease of use and flexibility for configuring advanced processing options. Conclusion: Although most ASL pipelines can process the common ASL data types, only some (namely, ASLPrep, ASLtbx, BASIL/Quantiphyse, ExploreASL, and MRICloud) are well-documented, publicly available, support multiple ASL types, have a user-friendly interface, and can provide a useful starting point for ASL processing. The choice of an optimal pipeline should be driven by specific data to be processed and user experience, and can be guided by the information provided in this ASL inventory.
Original languageEnglish
JournalMagnetic resonance in medicine
Early online date9 Oct 2023
DOIs
Publication statusE-pub ahead of print - 9 Oct 2023

Keywords

  • arterial spin labeling
  • automated processing pipeline
  • cerebral blood flow
  • open science
  • perfusion

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