A community-endorsed open-source lexicon for contrast agent-based perfusion MRI: A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI).
A community-endorsed open-source lexicon for contrast agent-based perfusion MRI: A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI).
复制标题
社区认可的基于造影剂的灌注 MRI 开源词典：来自 ISMRM 灌注成像开放科学倡议 (OSIPI) 的共识指南报告。
DOI：
10.1002/mrm.29840
复制
发表时间：
2023
影响因子：
3.3
通讯作者：
Dickie BR
中科院分区：
文献类型：
--
作者：
Dickie BR
本手稿描述了用于动态对比增强和动态磁敏感对比MRI的ISMRM OSIPI（灌注成像开放科学倡议）词典。该词典由OSIPI的4.2工作组开发，旨在提供常用数量、模型和分析过程的标准化定义，以减少报告的可变性。该工作组成立于2020年2月，由医学物理学家、工程师、临床医生、数据和计算机科学家以及DICOM（医学数字成像和通信）标准专家组成。工作队成员通过松弛渠道和季度虚拟会议进行协作。成员们参与界定词汇项目和报告格式，并由工作队至少两名其他成员审查。该词典的1.0.0版于2022年1月至3月期间接受了更广泛的灌注成像社区的公开审查，并于2022年夏天获得了ISMRM灌注研究组的认可。该词典的初始范围由工作组设定并定义，包含一组基本的量、过程和模型，使用户能够报告端到端分析管道，包括动力学模型拟合。我们还提供了如何轻松地将词典项和定义合并到自由文本描述中的指导（例如，在手稿和其他文档中），并引入了一种基于XML的管道编码格式，以标准化和可扩展的机器可读代码使用词典定义对分析进行编码。该词典的设计是开源和可扩展的，使其内容能够持续扩展。我们希望广泛采用本文所述的词汇术语和报告格式将增加该领域的可重复性。
This manuscript describes the ISMRM OSIPI (Open Science Initiative for Perfusion Imaging) lexicon for dynamic contrast‐enhanced and dynamic susceptibility‐contrast MRI. The lexicon was developed by Taskforce 4.2 of OSIPI to provide standardized definitions of commonly used quantities, models, and analysis processes with the aim of reducing reporting variability. The taskforce was established in February 2020 and consists of medical physicists, engineers, clinicians, data and computer scientists, and DICOM (Digital Imaging and Communications in Medicine) standard experts. Members of the taskforce collaborated via a slack channel and quarterly virtual meetings. Members participated by defining lexicon items and reporting formats that were reviewed by at least two other members of the taskforce. Version 1.0.0 of the lexicon was subject to open review from the wider perfusion imaging community between January and March 2022, and endorsed by the Perfusion Study Group of the ISMRM in the summer of 2022. The initial scope of the lexicon was set by the taskforce and defined such that it contained a basic set of quantities, processes, and models to enable users to report an end‐to‐end analysis pipeline including kinetic model fitting. We also provide guidance on how to easily incorporate lexicon items and definitions into free‐text descriptions (e.g., in manuscripts and other documentation) and introduce an XML‐based pipeline encoding format to encode analyses using lexicon definitions in standardized and extensible machine‐readable code. The lexicon is designed to be open‐source and extendable, enabling ongoing expansion of its content. We hope that widespread adoption of lexicon terminology and reporting formats described herein will increase reproducibility within the field.
影响因子：
3.3
作者：
Alsop, David C.;Detre, John A.;Golay, Xavier;Guenther, Matthias;Hendrikse, Jeroen;Hernandez-Garcia, Luis;Lu, Hanzhang;MacIntosh, Bradley J.;Parkes, Laura M.;Smits, Marion;van Osch, Matthias J. P.;Wang, Danny J. J.;Wong, Eric C.;Zaharchuk, Greg
通讯作者：
Zaharchuk, Greg
生物医学成像
影响因子：
46.9
作者：
Lindsay Weisel
通讯作者：
Lindsay Weisel
DOI：
10.1007/s10334-019-00784-w
发表时间：
2019-10-18
影响因子：
2.3
作者：
Mendichovszky, Iosif;Pullens, Pim;Sourbron, Steven
通讯作者：
Sourbron, Steven