Departments of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Texas Advanced Computing Center, University of Texas at Austin, Austin, TX, USA.
Int J Comput Assist Radiol Surg. 2017 Mar;12(3):449-457. doi: 10.1007/s11548-016-1495-z. Epub 2016 Oct 28.
We present a platform, GRAphical Pipeline Environment (GRAPE), to facilitate the development of patient-adaptive magnetic resonance imaging (MRI) protocols.
GRAPE is an open-source project implemented in the Qt C++ framework to enable graphical creation, execution, and debugging of real-time image analysis algorithms integrated with the MRI scanner. The platform provides the tools and infrastructure to design new algorithms, and build and execute an array of image analysis routines, and provides a mechanism to include existing analysis libraries, all within a graphical environment. The application of GRAPE is demonstrated in multiple MRI applications, and the software is described in detail for both the user and the developer.
GRAPE was successfully used to implement and execute three applications in MRI of the brain, performed on a 3.0-T MRI scanner: (i) a multi-parametric pipeline for segmenting the brain tissue and detecting lesions in multiple sclerosis (MS), (ii) patient-specific optimization of the 3D fluid-attenuated inversion recovery MRI scan parameters to enhance the contrast of brain lesions in MS, and (iii) an algebraic image method for combining two MR images for improved lesion contrast.
GRAPE allows graphical development and execution of image analysis algorithms for inline, real-time, and adaptive MRI applications.
我们提出了一个平台，即图形处理管道环境（GRAPE），以促进患者自适应磁共振成像（MRI）协议的开发。
GRAPE 是一个基于 Qt C++框架的开源项目，用于实现实时图像分析算法的图形化创建、执行和调试，并与 MRI 扫描仪集成。该平台提供了设计新算法的工具和基础设施，并构建和执行一系列图像分析例程，并提供了一种机制来包括现有的分析库，所有这些都在图形环境中进行。GRAPE 在多个 MRI 应用中得到了应用，并详细描述了用户和开发人员使用的软件。
GRAPE 成功地用于在 3.0-T MRI 扫描仪上执行三个脑 MRI 应用：（i）用于对多发性硬化症（MS）进行脑组织分割和病变检测的多参数管道，（ii）对 3D 液体衰减反转恢复 MRI 扫描参数进行患者特异性优化以增强 MS 中脑病变的对比度，以及（iii）用于组合两个 MRI 图像以提高病变对比度的代数图像方法。
GRAPE 允许图形化开发和执行图像分析算法，用于内联、实时和自适应 MRI 应用。
