增强全身 PET 成像的运动校正策略

James Wang, Dalton Bermudez, Weijie Chen, Divya Durgavarjhula, Caitlin Randell, Meltem Uyanik, Alan McMillan
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摘要

正电子发射断层扫描(PET)是一种功能强大的医学成像模式,被广泛用于检测和监测疾病。然而,PET 成像会受到病人运动的不利影响,导致图像质量和诊断能力下降。因此,人们开发了运动门控方案来监测各种运动源,包括头部运动、呼吸运动和心脏运动。这些技术通常以硬件驱动门控和数据驱动门控的形式出现,其区别在于使用外部硬件进行运动测量,而不是从数据本身得出这些测量结果。这些技术的实施有助于纠正运动伪影,改善示踪剂摄取测量。由于这些方法对 PET 图像的诊断和定量质量具有重大影响,该领域已开展了大量研究,本文概述了已开发的应用于全身 PET 成像的各种方法。
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Motion correction strategies for enhancing whole-body PET imaging
Positron Emission Tomography (PET) is a powerful medical imaging modality widely used for detection and monitoring of disease. However, PET imaging can be adversely affected by patient motion, leading to degraded image quality and diagnostic capability. Hence, motion gating schemes have been developed to monitor various motion sources including head motion, respiratory motion, and cardiac motion. The approaches for these techniques have commonly come in the form of hardware-driven gating and data-driven gating, where the distinguishing aspect is the use of external hardware to make motion measurements vs. deriving these measures from the data itself. The implementation of these techniques help corrects for motion artifacts and improve tracer uptake measurements. With the great impact that these methods have on the diagnostic and quantitative quality of PET images, much research has been performed in this area and this paper outlines the various approaches that have been developed as applied to whole-body PET imaging.
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