ArticleScientific data2022
ASL-BIDS, the brain imaging data structure extension for arterial spin labeling.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue.Magma (New York, N.Y.) · 2022Pooled it
- MRS-BIDS, an extension to the Brain Imaging Data Structure for magnetic resonance spectroscopy.Scientific data · 2025Article
- Sharing Neuroimaging Data with Squirrel - A Relational Data Format to Store Raw to Analyzed Data and Everything in Between.Neuroinformatics · 2025Article
- Automated algorithm for medical data structuring, and segmentation using artificial intelligence within secured environment for dataset creation.European journal of radiology open · 2024Article
- 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.Magnetic resonance in medicine · 2024Article
- Solving the Pervasive Problem of Protocol Non-Compliance in MRI using an Open-Source tool mrQA.Neuroinformatics · 2024Article
- ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): ASL pipeline inventory.Magnetic resonance in medicine · 2024Article
- ASL lexicon and reporting recommendations: A consensus report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI).Magnetic resonance in medicine · 2024Article
- Article
- The past, present, and future of the brain imaging data structure (BIDS).Imaging neuroscience (Cambridge, Mass.) · 2024Review
- Current status in spatiotemporal analysis of contrast-based perfusion MRI.Magnetic resonance in medicine · 2024Review
- ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms.Scientific data · 2024Article
- A ROI-based quantitative pipeline forHeliyon · 2024Article
- Article
- Multimodal neuroimaging data from a 5-week heart rate variability biofeedback randomized clinical trial.Scientific data · 2023Article
- BASIL: A toolbox for perfusion quantification using arterial spin labelling.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Three-dimensional pseudocontinuous arterial spin labeling perfusion imaging shows cerebral blood flow perfusion decline in attention-deficit/hyperactivity disorder children.Frontiers in psychiatry · 2023Article
- Feasibility of high-resolution perfusion imaging using arterial spin labeling MRI at 3 Tesla.Frontiers in physiology · 2023Article
- Recent Technical Developments in ASL: A Review of the State of the Art.Magnetic resonance in medicine · 2022Review
- A Beginner's Guide to Arterial Spin Labeling (ASL) Image Processing.Frontiers in radiology · 2022Review
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
Arterial spin labeling (ASL) is a non-invasive MRI technique that allows for quantitative measurement of cerebral perfusion. Incomplete or inaccurate reporting of acquisition parameters complicates quantification, analysis, and sharing of ASL data, particularly for studies across multiple sites, platforms, and ASL methods. There is a strong need for standardization of ASL data storage, including acquisition metadata. Recently, ASL-BIDS, the BIDS extension for ASL, was developed and released in BIDS 1.5.0. This manuscript provides an overview of the development and design choices of this first ASL-BIDS extension, which is mainly aimed at clinical ASL applications. Discussed are the structure of the ASL data, focussing on storage order of the ASL time series and implementation of calibration approaches, unit scaling, ASL-related BIDS fields, and storage of the labeling plane information. Additionally, an overview of ASL-BIDS compatible conversion and ASL analysis software and ASL example datasets in BIDS format is provided. We anticipate that large-scale adoption of ASL-BIDS will improve the reproducibility of ASL research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.