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Abstract：
We developed a data-driven respiratory motion (RM) correction method (REGAT program) for multiple-pinhole detector CZT SPECT. We verified its clinical feasibility with myocardial perfusion imaging (MPI) and studied its impact on image characteristics.
This retrospective study included 18 patients having stress/rest 99mTc-Tetrofosmin MPI SPECT. List mode was acquired on CZT SPECT and processed with REGAT. REGAT generates reconstructed RM-gated volumes that are summed either without realignment (NR-SPECT) or after realignment (R-SPECT). For both stress and rest, we calculated the maximal RM in the 3 axis, and image characteristics of both R-SPECT and NR-SPECT: minimum left ventricular (LV) cavity counts (LV-Min), maximum LV myocardial counts (LV-Max), LV contrast, and FWHM of both anterior (FWHM-ant) and inferior (FWHM-inf) LV myocardial walls.
At both stress and rest, cranio-caudal motion was the dominant axial movement and REGAT had a positive impact on image characteristics as reflected by variations between R-SPECT and NR-SPECT in LV-Min, LV-Max, FWHM-ant, FWHM-inf, and contrast. These latter were well correlated to the amplitude of cranio-caudal motion at both stress and rest.
Data-driven RM correction of MPI acquired with CZT SPECT is clinically feasible and easily applicable. It presents interesting impact on image characteristics.
This retrospective study included 18 patients having stress/rest 99mTc-Tetrofosmin MPI SPECT. List mode was acquired on CZT SPECT and processed with REGAT. REGAT generates reconstructed RM-gated volumes that are summed either without realignment (NR-SPECT) or after realignment (R-SPECT). For both stress and rest, we calculated the maximal RM in the 3 axis, and image characteristics of both R-SPECT and NR-SPECT: minimum left ventricular (LV) cavity counts (LV-Min), maximum LV myocardial counts (LV-Max), LV contrast, and FWHM of both anterior (FWHM-ant) and inferior (FWHM-inf) LV myocardial walls.
At both stress and rest, cranio-caudal motion was the dominant axial movement and REGAT had a positive impact on image characteristics as reflected by variations between R-SPECT and NR-SPECT in LV-Min, LV-Max, FWHM-ant, FWHM-inf, and contrast. These latter were well correlated to the amplitude of cranio-caudal motion at both stress and rest.
Data-driven RM correction of MPI acquired with CZT SPECT is clinically feasible and easily applicable. It presents interesting impact on image characteristics.
摘要：
我们为多针孔探测器CZTSPECT开发了一种数据驱动的呼吸运动（RM）校正方法（REGAT程序）。我们通过心肌灌注显像（MPI）验证了其临床可行性，并研究了其对图像特征的影响。
这项回顾性研究包括18例压力/休息99mTc-替曲膦MPISPECT患者。在CZTSPECT上获得列表模式,并用REGAT处理。REGAT生成重建的RM门控体积，这些体积在没有重新对齐（NR-SPECT）的情况下或在重新对齐（R-SPECT）之后进行求和。对于压力和休息，我们计算了3轴上的最大RM，R-SPECT和NR-SPECT的图像特征：最小左心室（LV）腔计数（LV-Min），最大左心室心肌计数（LV-Max），左心室对比度,和前（FWHM-ant）和下（FWHM-inf）LV心肌壁的FWHM。
在压力和休息时，颅尾运动是主要的轴向运动，REGAT对LV-Min中R-SPECT和NR-SPECT之间的变化所反映的图像特征具有积极影响，LV-Max,FWHM-ant,FWHM-inf,和对比。后者与压力和休息时的颅尾运动幅度密切相关。
用CZTSPECT获得的MPI的数据驱动RM校正在临床上是可行的，并且易于应用。它对图像特征表现出有趣的影响。
这项回顾性研究包括18例压力/休息99mTc-替曲膦MPISPECT患者。在CZTSPECT上获得列表模式,并用REGAT处理。REGAT生成重建的RM门控体积，这些体积在没有重新对齐（NR-SPECT）的情况下或在重新对齐（R-SPECT）之后进行求和。对于压力和休息，我们计算了3轴上的最大RM，R-SPECT和NR-SPECT的图像特征：最小左心室（LV）腔计数（LV-Min），最大左心室心肌计数（LV-Max），左心室对比度,和前（FWHM-ant）和下（FWHM-inf）LV心肌壁的FWHM。
在压力和休息时，颅尾运动是主要的轴向运动，REGAT对LV-Min中R-SPECT和NR-SPECT之间的变化所反映的图像特征具有积极影响，LV-Max,FWHM-ant,FWHM-inf,和对比。后者与压力和休息时的颅尾运动幅度密切相关。
用CZTSPECT获得的MPI的数据驱动RM校正在临床上是可行的，并且易于应用。它对图像特征表现出有趣的影响。
