Signal-to-noise optimization of medical imaging systems
Signal-to-noise optimization of medical imaging systems
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DOI：
10.1364/josaa.16.000621
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发表时间：
1999-03-01
影响因子：
1.9
通讯作者：
Shaw, R
中科院分区：
文献类型：
--
作者：
Cunningham, IA;Shaw, R
近几十年来，在应用现代成像理论在许多应用成像领域的应用中发生了一场安静的革命。在诊断医学X射线成像领域中，这一运动没有什么比这更具戏剧性的，因为现在，围绕通用成像语言提出了越来越多的共识来描述和比较日益多样化的技术范围。这种通用语言非常归功于Rose及其同时代人开创的基本量子限制方法，它体现了图像信号的根本统计性质，并使科学家和工程师能够同时开发针对检测小信号的新系统设计，同时限制了小型信号X射线暴露于可耐受的水平。我们试图摘要摘要在理解医学成像系统的信噪限制时所取得的进步的一些更明显的特征，并将这一进步放在历史背景下。重点放在基于X射线成像技术的医学诊断上。 （c）1999美国光学学会[S0740-3232（99）02503-X]。
Over recent decades a quiet revolution has taken place in the application of modern imaging theory to many fields of applied imaging. Nowhere has this movement been more dramatic than within the field of diagnostic medical x-ray imaging, to the extent that there is now a growing consensus around a universal imaging language for the description and comparison of the increasingly diverse range of technologies. This common language, which owes much to the basic quantum-limited approach pioneered by Rose and his contemporaries, embodies the fundamentally statistical nature of image signals and enables scientists and engineers to simultaneously develop new system designs optimized for the detection of small signals while constraining patient x-ray exposures to tolerable levels. We attempt to provide a summary of some of the more salient features of progress being made in the understanding of the signal-to-noise limitations of medical imaging systems and to place this progress within a historical context. Emphasis is placed on medical diagnostics based on x-ray imaging techniques. (C) 1999 Optical Society of America [S0740-3232(99)02503-X].