Zöllner Frank G, Daab Markus, Sourbron Steven P, Schad Lothar R, Schoenberg Stefan O, Weisser Gerald
Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Division of Biomedical Imaging, University of Leeds, Leeds, UK.
BMC Med Imaging. 2016 Jan 14;16:7. doi: 10.1186/s12880-016-0109-0.
Perfusion imaging has become an important image based tool to derive the physiological information in various applications, like tumor diagnostics and therapy, stroke, (cardio-) vascular diseases, or functional assessment of organs. However, even after 20 years of intense research in this field, perfusion imaging still remains a research tool without a broad clinical usage. One problem is the lack of standardization in technical aspects which have to be considered for successful quantitative evaluation; the second problem is a lack of tools that allow a direct integration into the diagnostic workflow in radiology.
Five compartment models, namely, a one compartment model (1CP), a two compartment exchange (2CXM), a two compartment uptake model (2CUM), a two compartment filtration model (2FM) and eventually the extended Toft's model (ETM) were implemented as plugin for the DICOM workstation OsiriX. Moreover, the plugin has a clean graphical user interface and provides means for quality management during the perfusion data analysis. Based on reference test data, the implementation was validated against a reference implementation. No differences were found in the calculated parameters.
We developed open source software to analyse DCE-MRI perfusion data. The software is designed as plugin for the DICOM Workstation OsiriX. It features a clean GUI and provides a simple workflow for data analysis while it could also be seen as a toolbox providing an implementation of several recent compartment models to be applied in research tasks. Integration into the infrastructure of a radiology department is given via OsiriX. Results can be saved automatically and reports generated automatically during data analysis ensure certain quality control.
灌注成像已成为一种重要的基于图像的工具，可在各种应用中获取生理信息，如肿瘤诊断与治疗、中风、（心血管）疾病或器官功能评估。然而，即使在该领域经过20年的深入研究之后，灌注成像仍然只是一种研究工具，尚未得到广泛的临床应用。一个问题是在技术方面缺乏标准化，而成功进行定量评估必须考虑这些方面；另一个问题是缺乏能够直接集成到放射诊断工作流程中的工具。
五种房室模型，即单房室模型（1CP）、双房室交换模型（2CXM）、双房室摄取模型（2CUM）、双房室滤过模型（2FM）以及最终的扩展托夫特模型（ETM），被实现为DICOM工作站OsiriX的插件。此外，该插件具有简洁的图形用户界面，并在灌注数据分析过程中提供质量管理手段。基于参考测试数据，将该实现与参考实现进行了对比验证。在计算参数方面未发现差异。
我们开发了用于分析DCE-MRI灌注数据的开源软件。该软件被设计为DICOM工作站OsiriX的插件。它具有简洁的图形用户界面，为数据分析提供了简单的工作流程，同时也可被视为一个工具箱，提供了几种近期房室模型的实现，可应用于研究任务。通过OsiriX可实现与放射科基础设施的集成。结果可自动保存，数据分析过程中自动生成的报告确保了一定的质量控制。
