On transcending the impasse of respiratory motion correction applications in routine clinical imaging - a consideration of a fully automated data driven motion control framework.
On transcending the impasse of respiratory motion correction applications in routine clinical imaging - a consideration of a fully automated data driven motion control framework.
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DOI：
10.1186/2197-7364-1-8
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发表时间：
2014-12
期刊：
影响因子：
4
通讯作者：
Koo PJ
中科院分区：
文献类型：
--
作者：
Kesner AL;Schleyer PJ;Büther F;Walter MA;Schäfers KP;Koo PJ
正电子发射断层扫描（PET）越来越多地用于胸部肿瘤的检测、表征和随访。然而，患者呼吸运动呈现出独特的限制，其阻碍了高分辨率PET技术在这种类型的成像中的应用。十多年来，人们一直在努力克服这一限制，但出于实际考虑，PET仍然是一种易受运动引起的图像退化影响的模式。在常规临床操作中不采用呼吸运动控制。在这篇文章中，我们借此机会强调了数据驱动运动控制策略的一些最新进展，以及它们如何成为我们所介绍的全自动数据驱动运动控制框架的基础。该框架代表了运动控制未来努力的另一个方向，可以在概念上将个人重点研究与解决全局挑战和目标的策略联系起来。本文的在线版本（doi：10.1186/2197-7364-1-8）包含补充材料，可供授权用户使用。
Positron emission tomography (PET) is increasingly used for the detection, characterization, and follow-up of tumors located in the thorax. However, patient respiratory motion presents a unique limitation that hinders the application of high-resolution PET technology for this type of imaging. Efforts to transcend this limitation have been underway for more than a decade, yet PET remains for practical considerations a modality vulnerable to motion-induced image degradation. Respiratory motion control is not employed in routine clinical operations. In this article, we take an opportunity to highlight some of the recent advancements in data-driven motion control strategies and how they may form an underpinning for what we are presenting as a fully automated data-driven motion control framework. This framework represents an alternative direction for future endeavors in motion control and can conceptually connect individual focused studies with a strategy for addressing big picture challenges and goals. The online version of this article (doi:10.1186/2197-7364-1-8) contains supplementary material, which is available to authorized users.