Crane Jason C, Olson Marram P, Nelson Sarah J
Surbeck Laboratory for Advanced Imaging, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94158-2330, USA.
Int J Biomed Imaging. 2013;2013:169526. doi: 10.1155/2013/169526. Epub 2013 Jul 18.
Quantitative analysis of magnetic resonance spectroscopic imaging (MRSI) data provides maps of metabolic parameters that show promise for improving medical diagnosis and therapeutic monitoring. While anatomical images are routinely reconstructed on the scanner, formatted using the DICOM standard, and interpreted using PACS workstations, this is not the case for MRSI data. The evaluation of MRSI data is made more complex because files are typically encoded with vendor-specific file formats and there is a lack of standardized tools for reconstruction, processing, and visualization. SIVIC is a flexible open-source software framework and application suite that enables a complete scanner-to-PACS workflow for evaluation and interpretation of MRSI data. It supports conversion of vendor-specific formats into the DICOM MR spectroscopy (MRS) standard, provides modular and extensible reconstruction and analysis pipelines, and provides tools to support the unique visualization requirements associated with such data. Workflows are presented which demonstrate the routine use of SIVIC to support the acquisition, analysis, and delivery to PACS of clinical (1)H MRSI datasets at UCSF.
磁共振波谱成像(MRSI)数据的定量分析可提供代谢参数图,有望改善医学诊断和治疗监测。虽然解剖图像通常在扫描仪上重建、使用DICOM标准格式化并通过PACS工作站进行解读,但MRSI数据并非如此。由于文件通常采用特定于供应商的文件格式编码,且缺乏用于重建、处理和可视化的标准化工具,MRSI数据的评估变得更加复杂。SIVIC是一个灵活的开源软件框架和应用套件,可实现从扫描仪到PACS的完整工作流程,用于评估和解读MRSI数据。它支持将特定于供应商的格式转换为DICOM磁共振波谱(MRS)标准,提供模块化且可扩展的重建和分析管道,并提供工具以支持与此类数据相关的独特可视化要求。文中展示了一些工作流程,这些流程证明了SIVIC在加州大学旧金山分校(UCSF)日常用于支持临床氢质子MRSI数据集的采集、分析以及传输至PACS的应用。