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Estimation of Rigid-Body and Respiratory Motion of the Heart From Marker-Tracking Data for SPECT Motion Correction

机译:从用于SPECT运动校正的标记跟踪数据估算心脏的刚体和呼吸运动

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摘要

Motion of patients undergoing cardiac SPECT perfusion imaging causes artifacts in the acquired images which may lead to difficulty in interpretation. Our work investigates a technique of obtaining patient motion estimates from retro-reflective markers on stretchy bands wrapped around the chest and abdomen of patients being imaged clinically. Motion signals obtained from the markers consist of at least two components, body motion (BM) and periodic motion (PM) due to respiration. We present a method for separating these components from the motion-tracking data of each marker, and then report a method for combining the BM estimated from chest markers to estimate the 6-degree-of-freedom (6-DOF) rigid-body motion (RBM) of the heart. Motion studies of volunteers and patients are used to evaluate the methods. Illustrative examples of the motion of the heart due to patient body movement and respiration (upward creep) are presented and compared to estimates of the motion of the heart obtained directly from SPECT data. Our motion-tracking method is seen to give reasonable agreement with the motion-estimates from the SPECT data while being considerably less noisy.
机译:接受心脏SPECT灌注成像的患者的运动会导致所获取图像中出现伪影,从而可能导致解释困难。我们的工作研究了一种技术,该技术可从缠绕在临床成像患者胸部和腹部的弹性带上的回射标记上获得患者运动估计值。从标记获得的运动信号包括至少两个分量,即由于呼吸而引起的身体运动(BM)和周期性运动(PM)。我们提出了一种从每个标记的运动跟踪数据中分离这些成分的方法,然后报告一种结合从胸部标记估算的BM来估算6自由度(6-DOF)刚体运动的方法(RBM)的心脏。使用志愿者和患者的运动研究来评估方法。呈现了由于患者身体运动和呼吸(向上蠕动)引起的心脏运动的说明性示例,并将其与直接从SPECT数据获得的心脏运动的估计值进行了比较。我们的运动跟踪方法与SPECT数据中的运动估计具有合理的一致性,同时噪音也大大减少。

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