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Volume rendering algorithms for three-dimensional ultrasound imaging: Image quality and real-time performance analysis

机译:用于三维超声成像的体绘制算法:图像质量和实时性能分析

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One of the key additions to clinical ultrasound (US) systems during the last decade has been the incorporation of three-dimensional (3D) imaging as a native mode. These systems provide interactive volume rendering and display of 3D data. However, interactive volume rendering is challenging due to the large amount of data I/O and computation required. Many rendering techniques have been developed ranging from fast algorithms with lower image quality to sophisticated algorithms with better image quality, e.g., shear-warp, shear-image-order, pre-integration and direct ray casting. In this paper, we discuss pros and cons of each of these rendering algorithms in terms of algorithm complexity and image quality. We also discuss a new rendering algorithm that we have proposed: pre-integrated shear-image-order (PISIO). PISIO algorithm overcomes the image-quality limitations of other fast algorithms and provides a fine balance between computation and image quality. To demonstrate the interactive performance of these algorithms, we implemented them on a programmable multicore processor, i.e., IBM Cell processor. We present the results in this paper.
机译:在过去的十年中,临床超声(US)系统的关键附加功能之一是将三维(3D)成像作为本机模式并入。这些系统提供交互式体绘制和3D数据显示。但是,由于需要大量的数据I / O和计算,因此交互式体绘制是具有挑战性的。已经开发了许多渲染技术,从具有较低图像质量的快速算法到具有较好图像质量的复杂算法,例如剪切翘曲,剪切图像阶数,预积分和直接射线投射。在本文中,我们从算法复杂度和图像质量方面讨论了每种渲​​染算法的优缺点。我们还将讨论我们提出的一种新的渲染算法:预集成剪切图像顺序(PISIO)。 PISIO算法克服了其他快速算法的图像质量限制,并在计算和图像质量之间达到了良好的平衡。为了演示这些算法的交互性能,我们在可编程的多核处理器(即IBM Cell处理器)上实现了这些算法。我们在本文中介绍了结果。

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