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在MRI中使用开源工具mrQAQA解决协议不合规的普遍问题
Harsh Sinha1, Pradeep Reddy Raamana2,3,4
1Intelligent Systems Program, School of Computing and Information, University of Pittsburgh, Pittsburgh, USA.
Neuroinformatics
|June 11, 2024
概括
跨站点的数据聚合需要一致的MRI协议. 一个开源工具mrQA揭示了神经成像数据集中广泛存在的协议不合规,影响了数据完整性,需要持续监控.
科学领域:
- 医疗成像医学成像
- 神经成像是一种神经成像.
- 数据科学数据科学数据科学
背景情况:
- 多站点数据聚合需要遵守标准化磁共振成像 (MRI) 物理参数.
- 由于DICOM复杂性和资源限制,手动协议合规性检查很困难.
- 磁力共振成像采集协议的偏差可能会损害信号噪声比 (SNR),统计能力和研究有效性.
研究的目的:
- 开发一种用于评估MRI协议合规性的自动化工具.
- 在大规模神经成像数据集中调查协议不遵守的流行率和模式.
- 突出研究中持续的协议监测的重要性.
主要方法:
- 开发了mrQA,这是一个用于自动协议合规性评估的开源工具.
- 将mrQA应用于像DICOM和BIDS这样的标准数据格式.
- 分析了20多个开放的神经成像数据集,包括ABCD研究.
主要成果:
- 在分析的神经成像数据集中,协议不遵守是普遍存在的.
- 常见的偏差包括重复时间,回声时间,翻转角度和相位编码方向等参数.
- 扫描仪制造商 (GE,飞利浦) 在ABCD数据集中显示的不合规率高于西门子.
结论:
- 像mrQA这样的自动化工具对于确保多站点研究中的数据质量至关重要.
- 建议在采集后立即持续监测MRI协议的合规性,以防止数据完整性问题.
- 该mrQA工具适用于任何基于DICOM的数据集,扩展其实用性超出神经成像.
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