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Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

不规则波形对使用MotionFree算法处理的数据驱动呼吸门PET/CT图像的影响.

Noriaki Miyaji¹, Kenta Miwa², Kosuke Yamashita³

¹Department of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-Shi, Fukushima, 960-8516, Japan. miyaji41@fmu.ac.jp.

Annals of nuclear medicine

|October 5, 2023

概括

MotionFree® (AMF) 准确地捕捉呼吸道波形,以改善PET/CT图像分析. 优化AMF参数可以提高定量准确性,特别是对于不规则的呼吸模式.

关键词:

数据驱动的呼吸门 (DDG)图像模糊化图像模糊化运动自由® (AMF)在这里,PET是PET.呼吸运动呼吸运动

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科学领域:

医疗成像医学成像
核医学是一种核医学.
图像处理图像处理

背景情况:

MotionFree® (AMF) 是一种用于临床图像处理的新型数据驱动呼吸门 (DDG) 算法.
精确的呼吸运动补偿对于定量PET/CT成像至关重要.
了解正常和不规则的呼吸运动对AMF表现的影响至关重要.

研究的目的:

为了验证AMF DDG算法得出的呼吸波形的准确性.
用AMF评估正常和不规则的呼吸运动对PET/CT定量准确性的影响.

主要方法:

在一个运动平台上使用了一个NEMA IEC车身幻影与F标记的球体.
模拟正常的 (阴影状,呼吸暂停) 和不规则的 (变化的振幅,移动的基线) 呼吸波形.
将AMF衍生波形与输入波形进行比较,并使用恢复系数和改进率评估定量准确性.

主要成果:

来自AMF的呼吸道波形与输入波形密切匹配.
定量准确性 (回收系数) 在静止和呼吸暂停波形中最高.
不规则的波形,特别是那些基线偏移的波形,在较小的球体 (<28毫米) 中显示出较低的改善率和活动度的显著差异.

结论:

有DDG的AMF准确地复制了呼吸运动波形,并提高了各种呼吸模式的定量准确性.
呼吸暂停波形观察到最显著的改善,而移动基线波形显示出最少的益处.
优化AMF"宽度"参数用于不规则波形,特别是那些基线偏移的波形,可以进一步有利于患者成像.