加强核医学图像数据和相关临床数据的互操作性和协调性
Timo Fuchs1,2, Lena Kaiser3, Dominik Müller4,5
1Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany.
Nuklearmedizin. Nuclear medicine
|October 31, 2023
概括
本综述探讨了核医学成像数据的互操作性和协调性. 它讨论了准备人工智能应用数据的标准和方法,旨在提高临床实践中的一致性和可用性.
科学领域:
- 核医学是一种核医学.
- 医疗成像医学成像
- 放射学 放射学是一门学科.
背景情况:
- 阳位子发射断层扫描 (PET) 和单光子发射计算机断层扫描 (SPECT),通常与计算机断层扫描 (CT) 结合,是重要的临床成像工具,特别是在瘤学中.
- 不同质的数据集来自不同的制造商,协议,工作流程和软件,阻碍了数据集成和分析.
- 互操作性和数据协调是核医学成像中的关键挑战.
研究的目的:
- 审查核医学图像和临床数据的互操作性和协调现状.
- 讨论现有和新兴的标准和方法,以改善数据兼容性和集成.
- 探索为人工智能 (AI) 应用准备核医学数据集的方法.
主要方法:
- 对核医学当前互操作性和协调策略的文献综述.
- 对图像采集,重建和数据准备的各种标准化方法的分析.
- 检查核医学中人工智能驱动项目的数据准备技术.
主要成果:
- 鉴定了核医学数据集中的显著异质性,原因是设备,协议和软件的变化.
- 讨论了各种标准化工作,包括结构化临床病史和标准化图像处理.
- 介绍了数据协调的方法,以提高AI,机器学习和深度学习应用的可用性.
结论:
- 标准化和协调对于提高核医学成像数据的质量和一致性至关重要.
- 实施标准化方法有助于数据共享,多中心研究和人工智能工具的开发.
- 未来的趋势表明,人工智能在核医学中的作用越来越大,需要强大的数据基础设施.
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