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用于增强全身PET成像的运动校正策略。

Motion-correction strategies for enhancing whole-body PET imaging.

作者信息

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

机构信息

Department of Radiology, University of Wisconsin Madison, Madison, WI, United States.

Department of Medical Physics, University of Wisconsin Madison, Madison, WI, United States.

出版信息

Front Nucl Med. 2024;4. doi: 10.3389/fnume.2024.1257880. Epub 2024 Feb 7.

Abstract

Positron Emission Tomography (PET) is a powerful medical imaging technique 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 helps correct for motion artifacts and improves 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.

摘要

正电子发射断层扫描(PET)是一种强大的医学成像技术,广泛用于疾病的检测和监测。然而,PET成像可能会受到患者运动的不利影响,导致图像质量和诊断能力下降。因此,已经开发了运动门控方案来监测包括头部运动、呼吸运动和心脏运动在内的各种运动源。这些技术的方法通常有硬件驱动门控和数据驱动门控两种形式,其区别在于使用外部硬件进行运动测量与从数据本身得出这些测量结果。这些技术的实施有助于校正运动伪影并改善示踪剂摄取测量。鉴于这些方法对PET图像的诊断和定量质量有很大影响,该领域已经进行了大量研究,本文概述了已开发的应用于全身PET成像的各种方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f88/11440993/6a73bf7cae31/fnume-04-1257880-g001.jpg

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