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Supercomputing in medical imaging

机译:医学成像中的超级计算

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摘要

It is suggested that the diagnostic imaging department of the future will make extensive use of computer networks, mass storage devices, and sophisticated workstations at which humans and machines will interact, assisted by techniques of computer vision and artificial intelligence, to achieve integration of multimodality imaging information and expert medical knowledge. Recent developments in medical imaging are described, and manipulation, display, and analysis techniques that are likely to benefit from supercomputing are examined. The following image processing tasks are discussed; restoration of images; spatial and temporal image and image sequence analysis; image restoration; mathematical image reconstruction from projections; and three-dimensional image analysis. Current trends and future efforts are discussed.
机译:建议未来的诊断成像部门将广泛使用计算机网络,大容量存储设备以及人机交互的复杂工作站,并借助计算机视觉和人工智能技术,实现多模态成像的集成信息和专业医学知识。描述了医学成像的最新发展,并研究了可能受益于超级计算的操纵,显示和分析技术。讨论了以下图像处理任务;恢复图像;时空图像和图像序列分析;图像恢复;通过投影进行数学图像重建;和三维图像分析。讨论了当前的趋势和未来的努力。

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