Respiratory motion correction for quantitative PET/CT using all detected events with internal-external motion correlation

Respiratory motion correction for quantitative PET/CT using all detected events with internal-external motion correlation
复制标题

DOI:
10.1118/1.3582692
复制
发表时间:
2011-05-01
期刊:
影响因子:
3.8
通讯作者:
Kinahan, Paul E.
Kinahan, Paul E.
中科院分区:
医学3区
文献类型:
--
作者:
Liu, Chi;Alessio, Adam M.;Kinahan, Paul E.

文献摘要

被引文献

相似文献

目的:我们提出了一种方法来纠正呼吸运动模糊PET/CT成像使用内部-外部(INTEX)的运动相关。一个已知的肿瘤的内部运动是来自于间接门控PET图像,这种内部运动,然后与外部呼吸信号,以确定完整的信息,肿瘤的运动在scan.Methods:对于每个PET/CT数据,PET listmode数据相位门控成五个箱和重建。确定每个箱中靶向肿瘤的质心,并将其与外部监测的呼吸运动信号的相应平均位移相关联。基于这种相关性,将外部运动信号转换为上下方向上的内部肿瘤运动信息。然后,将PET列表模式数据依次合并为多个1-s正弦图。根据转换后的内部肿瘤运动信号,将每个1-s正弦图配准到一个参考帧,该参考帧基于一致性条件与螺旋CT衰减图最佳匹配。将配准的正弦图相加并重建以形成图像,针对特定肿瘤的运动进行校正。在这项研究中,建议的INTEX方法进行了评估与幻影和病人的研究中的示踪剂浓度和volume.Results:INTEX方法有效地恢复示踪剂浓度的水平,在幻影实验中的静态扫描数据。在患者研究中,INTEX方法产生了(17 +/- 22)%的肿瘤体积减少和(10 +/- 10)%的肿瘤SUVmax增加nongated images.Conclusions相比:建议INTEX方法减少PET肿瘤定量和描绘的呼吸运动退化的有效方式。这可以用于通过最小化残余运动和匹配衰减校正来改善对已知肿瘤的治疗的响应的评估,而不增加图像噪声。(C)2011年美国医学物理学家协会。[DOI:10.1118/1.3582692]
Purpose: We present a method to correct respiratory motion blurring in PET/CT imaging using internal-external (INTEX) motion correlation. The internal motion of a known tumor is derived from respiratory-gated PET images; this internal motion is then correlated with external respiratory signals to determine the complete information of tumor motion during the scan.Methods: For each PET/CT data, PET listmode data were phase-gated into five bins and reconstructed. The centroid of a targeted tumor in each bin was determined and correlated with the corresponding mean displacement of externally monitored respiratory motion signal. Based on this correlation, the external motion signal was converted into internal tumor motion information in the superior-inferior direction. Then, the PET listmode data were binned sequentially to multiple 1-s sinograms. According to the converted internal tumor motion signal, each 1-s sinogram was registered to a reference frame, which best matched the helical CT attenuation map based on consistency conditions. The registered sinograms were summed and reconstructed to form an image, corrected for the motion of the specific tumor. In this study, the proposed INTEX method was evaluated with phantom and patient studies in terms of tracer concentration and volume.Results: The INTEX method effectively recovered the tracer concentration to the level of the stationary scan data in the phantom experiment. In the patient study, the INTEX method yielded a (17 +/- 22)% tumor volume decrease and a (10 +/- 10)% tumor SUVmax increase compared to nongated images.Conclusions: The proposed INTEX method reduces respiratory motion degradation of PET tumor quantification and delineation in an effective manner. This can be used to improve the assessment of response to therapy for a known tumor by minimizing residual motion and matching the attenuation correction, without increasing image noise. (C) 2011 American Association of Physicists in Medicine. [DOI: 10.1118/1.3582692]