Biomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China.
Department of Radiology, University of Massachusetts Medical School, Worcester, USA.
Med Phys. 2020 Sep;47(9):4223-4232. doi: 10.1002/mp.14354. Epub 2020 Jul 18.
Respiratory gating reduces respiratory blur in cardiac single photon emission computed tomography (SPECT). It can be implemented as three gating schemes: (a) equal amplitude-based gating (AG); (b) phase or time-based gating (TG); or (c) equal count-based gating (CG), that is, a variant of amplitude-based method. The goal of this study is to evaluate the effectiveness of these respiratory gating methods for patients with different respiratory patterns in myocardial perfusion SPECT.
We reviewed 1274 anonymized patient respiratory traces obtained via the Vicon motion-tracking system during their Tc-sestamibi SPECT scans and grouped them into four breathing categories: (a) regular respiration (RR); (b) periodic respiration (PR); (c) respiration with apnea (AR); and (d) unclassified respiration (UR). For each respiratory pattern, 15 patients were randomly selected and their list-mode data were rebinned using the three gating schemes. A preliminary reconstruction was performed for each gate with the heart region segmented and registered to a reference gate to estimate the respiratory motion. A final reconstruction incorporating respiratory motion correction was done to get a final image set. The estimated respiratory motion, the full-width-at-half-maxima (FWHM) measured across the image intensity profile of the left ventricle wall, as well as the normalized standard deviation measured in a uniform cuboid region of the thorax were analyzed.
There are 47.1%, 24.3%, 13.5%, and 15.1% RR, PR, AR, and UR patients, respectively, among the 1274 patients in this study. The differences among the three gating schemes in RR were smaller than other respiratory patterns. The AG and CG methods showed statistically larger motion estimation than TG particularly in the AR and PR patterns. Noise of AG varied more in different gates, especially for AR and UR patterns.
More than half of the patients reviewed exhibited nonregular breathing patterns. Amplitude-based gating, that is, AG and CG, is a preferred gating method for such patterns and is a robust respiratory gating implementation method given the respiratory pattern of the patients is unknown before data acquisition. Phase gating is also a feasible option for regular respiratory pattern.
呼吸门控可减少心脏单光子发射计算机断层扫描(SPECT)中的呼吸模糊。它可以通过三种门控方案实现:(a)基于相等幅度的门控(AG);(b)基于相位或时间的门控(TG);或(c)基于相等计数的门控(CG),即幅度法的一种变体。本研究的目的是评估这些呼吸门控方法在心肌灌注 SPECT 中不同呼吸模式的患者中的有效性。
我们回顾了通过 Vicon 运动跟踪系统在 Tc-sestamibi SPECT 扫描期间获得的 1274 份匿名患者呼吸轨迹,并将其分为以下四种呼吸类别:(a)规则呼吸(RR);(b)周期性呼吸(PR);(c)伴有呼吸暂停的呼吸(AR);和(d)未分类呼吸(UR)。对于每种呼吸模式,随机选择 15 名患者,并用三种门控方案重新对其列表模式数据进行分类。对于每个门,使用心脏区域进行初步重建并注册到参考门,以估计呼吸运动。进行最终重建,结合呼吸运动校正,以获得最终图像集。分析估计的呼吸运动、通过左心室壁图像强度轮廓测量的半最大值全宽(FWHM)以及在胸部均匀立方体内测量的归一化标准差。
在这项研究的 1274 名患者中,RR、PR、AR 和 UR 患者分别占 47.1%、24.3%、13.5%和 15.1%。RR 三种门控方案之间的差异小于其他呼吸模式。AG 和 CG 方法比 TG 方法显示出更大的运动估计值,特别是在 AR 和 PR 模式下。AG 的噪声在不同的门之间变化更大,尤其是在 AR 和 UR 模式下。
回顾的患者中超过一半表现出不规则的呼吸模式。对于这种模式,基于幅度的门控,即 AG 和 CG,是首选的门控方法,并且是一种稳健的呼吸门控实施方法,因为在数据采集之前不知道患者的呼吸模式。对于规则的呼吸模式,相位门控也是一种可行的选择。