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

Author:

Fan Hongli12,Mutsaerts Henk J. M. M.34ORCID,Anazodo Udunna5,Arteaga Daniel6,Baas Koen P. A.47,Buchanan Charlotte8,Camargo Aldo9,Keil Vera C.3410,Lin Zixuan1,Lindner Thomas11ORCID,Hirschler Lydiane12ORCID,Hu Jian813ORCID,Padrela Beatriz E.34,Taghvaei Mohammad14,Thomas David L.15ORCID,Dolui Sudipto14,Petr Jan3416ORCID

Affiliation:

1. Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore Baltimore Maryland USA

2. MR Research and Development, Siemens Medical Solutions USA, Inc. Dallas Texas USA

3. Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam Amsterdam The Netherlands

4. Brain Imaging, Amsterdam Neuroscience Amsterdam The Netherlands

5. Montreal Neurological Institute, McGill University Montreal Quebec Canada

6. Ascension Saint Thomas Hospital Nashville Tennessee USA

7. Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Academic Medical Center Amsterdam The Netherlands

8. Sir Peter Mansfield Imaging Center, School of Medicine, University of Nottingham Nottingham UK

9. Department of Diagnostic Radiology and Nuclear Medicine, School of Medicine University of Maryland of Baltimore Baltimore Maryland USA

10. Imaging and Biomarkers, Cancer Center Amsterdam Amsterdam The Netherlands

11. Department of Diagnostic and Interventional Neuroradiology, University Hospital Hamburg‐Eppendorf Hamburg Germany

12. Department of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center Leiden The Netherlands

13. Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham Nottingham UK

14. Department of Radiology, University of Pennsylvania Philadelphia Pennsylvania USA

15. Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London London UK

16. Helmholtz‐Zentrum Dresden‐Rossendorf, Institute of Radiopharmaceutical Cancer Research Dresden Germany

Abstract

AbstractPurposeTo 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.MethodsDevelopers 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.ResultsThe 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.ConclusionAlthough 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.

Funder

Canada First Research Excellence Fund

European Cooperation in Science and Technology

THF

Rijksdienst voor Ondernemend Nederland

NIH

NIHR Nottingham Biomedical Research Centre

Wellcome Trust

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3