对论文 "基于数据驱动门控(DDG)的运动匹配用于改进 CTAC 注册 "的评论。EJNMMI Physics.2024;11(1):42."

IF 3 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Tinsu Pan
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引用次数: 0

摘要

在 PET/CT 中,CT 和 PET 之间的错位主要是由 PET/CT CT 扫描过程中的呼吸运动或不规则呼吸造成的。除了重复 CT、重复 PET/CT 或数据驱动门控(DDG)CT 外,目前还没有切实可行的方法来减少 PET 数据的错配伪影和随后的 CT 衰减校正(CTAC)。DDG PET 根据 PET 图像的多个相位推导出呼吸运动模型,无需硬件选通,并可根据呼吸运动模型对错误定位伪影进行潜在校正。这篇评论的目的是比较最近发表的两篇文章,它们分别涉及将螺旋 CT 的随机相位与根据 DDG PET 运动模型推导出的 PET 相位之一进行匹配,以及将错误注册的螺旋 CT 扭曲,以便与 PET 或 DDG PET 进行 CTAC 和注册。这两份出版物的方法相似。但是,用于比较的数据集不同,可能会影响它们的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comments on the paper "Data-driven gating (DDG)-based motion match for improved CTAC registration. EJNMMI Physics. 2024;11(1):42."

Misregistration between CT and PET in PET/CT is mainly caused by respiratory motion or irregular respiration during the CT scan in PET/CT. Other than repeat CT, repeat PET/CT, or data-driven gated (DDG) CT, there is no practical approach to mitigate the misregistration artifacts and subsequent CT attenuation correction (CTAC) of the PET data. DDG PET derives a respiratory motion model based on the multiple phases of PET images without hardware gating and it allows for a potential correction of the misregistration artifacts based on the respiratory motion model. The purpose of this commentary was to compare the recent two publications on matching the random phase of helical CT with one of the PET phases derived from the motion model of DDG PET and warping the misregistered helical CT for CTAC of and registration with PET or DDG PET. The two publications were similar in methodology. However, the data sets used for the comparison were different and could potentially impact their conclusions.

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来源期刊
EJNMMI Physics
EJNMMI Physics Physics and Astronomy-Radiation
CiteScore
6.70
自引率
10.00%
发文量
78
审稿时长
13 weeks
期刊介绍: EJNMMI Physics is an international platform for scientists, users and adopters of nuclear medicine with a particular interest in physics matters. As a companion journal to the European Journal of Nuclear Medicine and Molecular Imaging, this journal has a multi-disciplinary approach and welcomes original materials and studies with a focus on applied physics and mathematics as well as imaging systems engineering and prototyping in nuclear medicine. This includes physics-driven approaches or algorithms supported by physics that foster early clinical adoption of nuclear medicine imaging and therapy.
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