ASL-BIDS, the brain imaging data structure extension for arterial spin labeling.
ASL-BIDS, the brain imaging data structure extension for arterial spin labeling.
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DOI：
10.1038/s41597-022-01615-9
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发表时间：
2022-09-06
期刊：
影响因子：
9.8
通讯作者：
Mutsaerts, Henk J. M. M.
中科院分区：
文献类型：
--
作者：
Clement, Patricia;Castellaro, Marco;Okell, Thomas W.;Thomas, David L.;Vandemaele, Pieter;Elgayar, Sara;Oliver-Taylor, Aaron;Kirk, Thomas;Woods, Joseph G.;Vos, Sjoerd B.;Kuijer, Joost P. A.;Achten, Eric;van Osch, Matthias J. P.;Detre, John A.;Lu, Hanzhang;Alsop, David C.;Chappell, Michael A.;Hernandez-Garcia, Luis;Petr, Jan;Mutsaerts, Henk J. M. M.
动脉自旋标记（ASL）是一种非侵入性MRI技术，可以定量测量脑灌注。采集参数的不完整或不准确报告使ASL数据的量化、分析和共享复杂化，特别是对于跨多个研究中心、平台和ASL方法的研究。非常需要标准化ASL数据存储，包括采集元数据。最近，在BIDS 1.5.0中开发并发布了ASL-BIDS（ASL的BIDS扩展）。本文概述了第一个ASL-BIDS扩展的开发和设计选择，主要针对临床ASL应用。讨论了ASL数据的结构，侧重于ASL时间序列的存储顺序和校准方法的实现，单位缩放，ASL相关的BIDS字段，以及标记平面信息的存储。此外，还提供了ASL-BIDS兼容转换和ASL分析软件以及BIDS格式的ASL示例数据集的概述。我们预计ASL-BIDS的大规模采用将提高ASL研究的可重复性。
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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影响因子：
3.3
作者：
Chappell, Michael A.;Woolrich, Mark W.;Payne, Stephen J.
通讯作者：
Payne, Stephen J.
影响因子：
3.7
作者：
Mutsaerts, Henri J. M. M.;Steketee, Rebecca M. E.;Nederveen, Aart J.
通讯作者：
Nederveen, Aart J.
影响因子：
5.5
作者：
BIDGOOD, WD;HORII, SC
通讯作者：
HORII, SC
影响因子：
9.8
作者：
Norgaard M;Matheson GJ;Hansen HD;Thomas A;Searle G;Rizzo G;Veronese M;Giacomel A;Yaqub M;Tonietto M;Funck T;Gillman A;Boniface H;Routier A;Dalenberg JR;Betthauser T;Feingold F;Markiewicz CJ;Gorgolewski KJ;Blair RW;Appelhoff S;Gau R;Salo T;Niso G;Pernet C;Phillips C;Oostenveld R;Gallezot JD;Carson RE;Knudsen GM;Innis RB;Ganz M
通讯作者：
Ganz M
影响因子：
9.8
作者：
Holdgraf, Christopher;Appelhoff, Stefan;Hermes, Dora
通讯作者：
Hermes, Dora