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ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): ASL pipeline inventory.
Fan, Hongli; Mutsaerts, Henk J M M; Anazodo, Udunna; Arteaga, Daniel; Baas, Koen P A; Buchanan, Charlotte; Camargo, Aldo; Keil, Vera C; Lin, Zixuan; Lindner, Thomas; Hirschler, Lydiane; Hu, Jian; Padrela, Beatriz E; Taghvaei, Mohammad; Thomas, David L; Dolui, Sudipto; Petr, Jan.
Affiliation
  • Fan H; Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Baltimore, Maryland, USA.
  • Mutsaerts HJMM; MR Research and Development, Siemens Medical Solutions USA, Inc., Dallas, Texas, USA.
  • Anazodo U; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Arteaga D; Brain Imaging, Amsterdam Neuroscience, Amsterdam, The Netherlands.
  • Baas KPA; Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
  • Buchanan C; Ascension Saint Thomas Hospital, Nashville, Tennessee, USA.
  • Camargo A; Brain Imaging, Amsterdam Neuroscience, Amsterdam, The Netherlands.
  • Keil VC; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Academic Medical Center, Amsterdam, The Netherlands.
  • Lin Z; Sir Peter Mansfield Imaging Center, School of Medicine, University of Nottingham, Nottingham, UK.
  • Lindner T; Department of Diagnostic Radiology and Nuclear Medicine, School of Medicine, University of Maryland of Baltimore, Baltimore, Maryland, USA.
  • Hirschler L; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Hu J; Brain Imaging, Amsterdam Neuroscience, Amsterdam, The Netherlands.
  • Padrela BE; Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Taghvaei M; Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Baltimore, Maryland, USA.
  • Thomas DL; Department of Diagnostic and Interventional Neuroradiology, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
  • Dolui S; Department of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, The Netherlands.
  • Petr J; Sir Peter Mansfield Imaging Center, School of Medicine, University of Nottingham, Nottingham, UK.
Magn Reson Med ; 91(5): 1787-1802, 2024 May.
Article in En | MEDLINE | ID: mdl-37811778
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.
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Full text: 1 Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Imaging, Three-Dimensional Type of study: Qualitative_research Language: En Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Imaging, Three-Dimensional Type of study: Qualitative_research Language: En Year: 2024 Type: Article