Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
J Digit Imaging. 2013 Apr;26(2):344-52. doi: 10.1007/s10278-012-9510-6.
To develop a generic Open Source MRI perfusion analysis tool for quantitative parameter mapping to be used in a clinical workflow and methods for quality management of perfusion data. We implemented a classic, pixel-by-pixel deconvolution approach to quantify T1-weighted contrast-enhanced dynamic MR imaging (DCE-MRI) perfusion data as an OsiriX plug-in. It features parallel computing capabilities and an automated reporting scheme for quality management. Furthermore, by our implementation design, it could be easily extendable to other perfusion algorithms. Obtained results are saved as DICOM objects and directly added to the patient study. The plug-in was evaluated on ten MR perfusion data sets of the prostate and a calibration data set by comparing obtained parametric maps (plasma flow, volume of distribution, and mean transit time) to a widely used reference implementation in IDL. For all data, parametric maps could be calculated and the plug-in worked correctly and stable. On average, a deviation of 0.032 ± 0.02 ml/100 ml/min for the plasma flow, 0.004 ± 0.0007 ml/100 ml for the volume of distribution, and 0.037 ± 0.03 s for the mean transit time between our implementation and a reference implementation was observed. By using computer hardware with eight CPU cores, calculation time could be reduced by a factor of 2.5. We developed successfully an Open Source OsiriX plug-in for T1-DCE-MRI perfusion analysis in a routine quality managed clinical environment. Using model-free deconvolution, it allows for perfusion analysis in various clinical applications. By our plug-in, information about measured physiological processes can be obtained and transferred into clinical practice.
为了开发一种通用的开源 MRI 灌注分析工具，用于对定量参数进行映射，以便在临床工作流程中使用，并提供灌注数据质量管理方法。我们实现了一种经典的、逐像素解卷积方法，用于量化 T1 加权对比增强动态磁共振成像（DCE-MRI）灌注数据，作为 OsiriX 插件。它具有并行计算能力和自动报告质量管理制度。此外，通过我们的实现设计，它可以很容易地扩展到其他灌注算法。获得的结果以 DICOM 对象的形式保存，并直接添加到患者的研究中。该插件通过比较获得的参数图（血浆流量、分布容积和平均通过时间）与 IDL 中广泛使用的参考实现，对前列腺的十个磁共振灌注数据集和一个校准数据集进行了评估。对于所有数据，都可以计算出参数图，插件工作正确且稳定。平均而言，我们的实现与参考实现之间的血浆流量偏差为 0.032 ± 0.02 ml/100 ml/min，分布容积偏差为 0.004 ± 0.0007 ml/100 ml，平均通过时间偏差为 0.037 ± 0.03 s。通过使用具有八个 CPU 内核的计算机硬件，可以将计算时间缩短 2.5 倍。我们成功地开发了一种用于常规质量管理临床环境中的 T1-DCE-MRI 灌注分析的开源 OsiriX 插件。它使用无模型解卷积，可以在各种临床应用中进行灌注分析。通过我们的插件，可以获得有关测量生理过程的信息，并将其转化为临床实践。
