Diaz Ernesto, Sriram Renuka, Gordon Jeremy W, Sinha Avantika, Liu Xiaoxi, Sahin Sule, Crane Jason, Olson Marram P, Chen Hsin-Yu, Bernard Jenna, Vigneron Daniel B, Wang Zhen Jane, Xu Duan, Larson Peder E Z
Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, California, USA.
UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California, USA.
ArXiv. 2024 May 6:arXiv:2405.03147v1.
Hyperpolarized (HP) C MRI has shown promise as a valuable modality for measurements of metabolism and is currently in human trials at 15 research sites worldwide. With this growth it is important to adopt standardized data storage practices as it will allow sites to meaningfully compare data. In this paper we (1) describe data that we believe should be stored and (2) demonstrate pipelines and methods that utilize the Digital Imaging and Communications in Medicine (DICOM) standard. This includes proposing a set of minimum set of information that is specific to HP C MRI studies. We then show where the majority of these can be fit into existing DICOM Attributes, primarily via the "Contrast/Bolus" module. We also demonstrate pipelines for utilizing DICOM for HP C MRI. DICOM is the most common standard for clinical medical image storage and provides the flexibility to accommodate the unique aspects of HP C MRI, including the HP agent information but also spectroscopic and metabolite dimensions. The pipelines shown include creating DICOM objects for studies on human and animal imaging systems with various pulse sequences. We also show a python-based method to efficiently modify DICOM objects to incorporate the unique HP C MRI information that is not captured by existing pipelines. Moreover, we propose best practices for HP C MRI data storage that will support future multi-site trials, research studies and technical developments of this imaging technique.
超极化（HP）碳磁共振成像已显示出作为一种用于代谢测量的有价值模态的前景，目前正在全球15个研究地点进行人体试验。随着这种发展，采用标准化的数据存储做法很重要，因为这将使各研究地点能够有意义地比较数据。在本文中，我们（1）描述了我们认为应该存储的数据，（2）展示了利用医学数字成像和通信（DICOM）标准的流程和方法。这包括提出一组特定于HP碳磁共振成像研究的最小信息集。然后我们展示了这些信息中的大部分可以主要通过“对比剂/团注”模块适配到现有的DICOM属性中。我们还展示了用于HP碳磁共振成像的利用DICOM的流程。DICOM是临床医学图像存储最常用的标准，并且提供了灵活性以适应HP碳磁共振成像的独特方面，包括HP造影剂信息以及光谱和代谢物维度。所展示的流程包括为使用各种脉冲序列的人体和动物成像系统研究创建DICOM对象。我们还展示了一种基于Python的方法，用于有效地修改DICOM对象，以纳入现有流程未捕获的独特的HP碳磁共振成像信息。此外，我们提出了HP碳磁共振成像数据存储的最佳实践，这将支持该成像技术未来的多中心试验、研究以及技术发展。
