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首页> 外文会议>Visualization, Image-Guided Procedures pt.2; Progress in Biomedical Optics and Imaging; vol.8 no.28; Proceedings of SPIE-The International Society for Optical Engineering; vol.6509 pt.2 >Real-time dynamic display of registered 4D cardiac MR and ultrasound images using a GPU
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Real-time dynamic display of registered 4D cardiac MR and ultrasound images using a GPU

机译：使用GPU实时动态显示已注册的4D心脏MR和超声图像

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摘要

In minimally invasive image-guided surgical interventions, different imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), and real-time three-dimensional (3D) ultrasound (US), can provide complementary, multi-spectral image information. Multimodality dynamic image registration is a well-established approach that permits real-time diagnostic information to be enhanced by placing lower-quality real-time images within a high quality anatomical context. For the guidance of cardiac procedures, it would be valuable to register dynamic MRI or CT with intraoperative US. However, in practice, either the high computational cost prohibits such real-time visualization of volumetric multimodal images in a real-world medical environment, or else the resulting image quality is not satisfactory for accurate guidance during the intervention. Modern graphics processing units (GPUs) provide the programmability, parallelism and increased computational precision to begin to address this problem. In this work, we first outline our research on dynamic 3D cardiac MR and US image acquisition, real-time dual-modality registration and US tracking. Then we describe image processing and optimization techniques for 4D (3D + time) cardiac image real-time rendering. We also present our multimodality 4D medical image visualization engine, which directly runs on a GPU in real-time by exploiting the advantages of the graphics hardware. In addition, techniques such as multiple transfer functions for different imaging modalities, dynamic texture binding, advanced texture sampling and multimodality image compositing are employed to facilitate the real-time display and manipulation of the registered dual-modality dynamic 3D MR and US cardiac datasets.
机译：在以微创图像为指导的外科手术中，不同的成像方式，例如磁共振成像（MRI），计算机断层扫描（CT）和实时三维（3D）超声（US），可以提供互补的多光谱图片信息。多模态动态图像配准是一种行之有效的方法，通过将较低质量的实时图像放置在高质量的解剖环境中，可以增强实时诊断信息。为了指导心脏手术，在术中超声检查中进行动态MRI或CT记录将是很有价值的。然而，在实践中，要么高昂的计算成本就禁止了现实世界医学环境中体积多峰图像的这种实时可视化，要么所得到的图像质量对于介入期间的准确指导并不令人满意。现代图形处理单元（GPU）提供了可编程性，并行性和更高的计算精度，以开始解决此问题。在这项工作中，我们首先概述了我们对动态3D心脏MR和US图像采集，实时双模式配准和US跟踪的研究。然后，我们描述用于4D（3D +时间）心脏图像实时渲染的图像处理和优化技术。我们还展示了我们的多模态4D医学图像可视化引擎，该引擎通过利用图形硬件的优势直接在GPU上实时实时运行。此外，还采用了诸如针对不同成像模态的多重传递函数，动态纹理绑定，高级纹理采样和多模态图像合成等技术来促进实时显示和操纵已注册的双模态动态3D MR和US心脏数据集。

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