Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, London, ON, Canada.
J Digit Imaging. 2011 Aug;24(4):640-64. doi: 10.1007/s10278-010-9321-6.
With the increasing availability of high-resolution isotropic three- or four-dimensional medical datasets from sources such as magnetic resonance imaging, computed tomography, and ultrasound, volumetric image visualization techniques have increased in importance. Over the past two decades, a number of new algorithms and improvements have been developed for practical clinical image display. More recently, further efficiencies have been attained by designing and implementing volume-rendering algorithms on graphics processing units (GPUs). In this paper, we review volumetric image visualization pipelines, algorithms, and medical applications. We also illustrate our algorithm implementation and evaluation results, and address the advantages and drawbacks of each algorithm in terms of image quality and efficiency. Within the outlined literature review, we have integrated our research results relating to new visualization, classification, enhancement, and multimodal data dynamic rendering. Finally, we illustrate issues related to modern GPU working pipelines, and their applications in volume visualization domain.
随着磁共振成像、计算机断层扫描和超声等来源的高分辨率各向同性三维或四维医学数据集的日益普及，容积图像可视化技术的重要性不断增加。在过去的二十年中，已经为实际的临床图像显示开发了许多新的算法和改进。最近，通过在图形处理单元 (GPU) 上设计和实现体绘制算法，进一步提高了效率。在本文中，我们回顾了容积图像可视化管道、算法和医学应用。我们还说明了我们的算法实现和评估结果，并根据图像质量和效率讨论了每种算法的优缺点。在概述的文献综述中，我们整合了我们关于新的可视化、分类、增强和多模态数据动态渲染的研究结果。最后，我们说明了与现代 GPU 工作管道相关的问题及其在体绘制领域的应用。
