Medical Imaging Research Center and Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, USA.
Med Phys. 2011 Dec;38(12):6571-84. doi: 10.1118/1.3660328.
In gated cardiac single photon emission computed tomography (SPECT), image reconstruction is often hampered by various degrading factors including depth-dependent spatial blurring, attenuation, scatter, motion blurring, and low data counts. Consequently, there has been significant development in image reconstruction methods for improving the quality of reconstructed images. The goal of this work is to investigate how these degrading factors will impact the reconstructed myocardium when different reconstruction methods are used.
The authors conduct a comparative study of the effects of these degrading factors on the accuracy of myocardium by several reconstruction algorithms, including (1) a clinical spatiotemporal processing method, (2) maximum likelihood (ML) estimation, (3) 3D maximum a posteriori (MAP) estimation, (4) 3D MAP with posttemporal filtering, and (5) motion-compensated spatiotemporal (4D) reconstruction. To quantify the reconstruction results, the authors use the following measures on different aspects of the myocardium: (1) overall error level in the myocardium, (2) regional accuracy of the left ventricle (LV) wall, (3) uniformity of the LV, (4) accuracy of regional time activity curves by normalized cross-correlation coefficient, and (5) perfusion defect detectability. The authors also assess the effectiveness of degrading corrections in reconstruction by considering an upper bound for each reconstruction method, which represents what would be achieved by each method if the acquired data were free from attenuation and scatter degradations. In the experiments the authors use Monte Carlo simulated cardiac gated SPECT imaging based on the 4D NURBS-based cardiac-torso (NCAT) phantom with different patient geometry and lesion settings, in which the simulated ground truth is known for the purpose of quantitative evaluation.
The results demonstrate that use of temporal processing in reconstruction (Methods 1, 4, and 5 above) can greatly improve the reconstructed myocardium in terms of both error level and perfusion defect detection. In low-count gated studies, it can have even greater impact than other degrading factors. Both attenuation and scatter corrections can lead to reduced error levels in the myocardium in all methods; in particular, with 4D the bias can be reduced by as much as four-fold compared to no correction. There is a slight increase in noise level observed with scatter correction. A significant improvement in heart wall appearance is demonstrated in reconstruction results from three sets of clinical acquisitions as correction for degradations is combined with refinement of temporal filtering.
Correction for degrading factors such as resolution, attenuation, scatter, and motion blur can all lead to improved image quality in cardiac gated SPECT reconstruction. However, their effectiveness could also vary with the reconstruction algorithms used. Both attenuation and scatter corrections can effectively reduce the bias level of the reconstructed LV wall, though scatter correction is also observed to increase the variance level. Use of temporal processing in reconstruction can have greater impact on the accuracy of the myocardium than correction of other degrading factors. Overall, use of degrading corrections in 4D reconstruction is shown to be most effective for improving both reconstruction accuracy of the myocardium and detectability of perfusion defects in gated images.
在门控心脏单光子发射计算机断层扫描(SPECT)中,图像重建常常受到各种退化因素的影响,包括深度相关的空间模糊、衰减、散射、运动模糊和低数据计数。因此,已经有了显著的发展,在图像重建方法,以提高重建图像的质量。本研究的目的是研究当使用不同的重建方法时,这些退化因素将如何影响重建的心肌。
作者通过几种重建算法,包括(1)临床时空处理方法、(2)最大似然(ML)估计、(3)3D 最大后验(MAP)估计、(4)后时间滤波的 3D MAP 和(5)运动补偿时空(4D)重建,对这些退化因素对心肌准确性的影响进行了比较研究。为了量化重建结果,作者在心肌的不同方面使用了以下措施:(1)心肌的整体误差水平,(2)左心室(LV)壁的区域准确性,(3)LV 的均匀性,(4)通过归一化互相关系数的区域时间活动曲线的准确性,以及(5)灌注缺陷的可检测性。作者还通过考虑每种重建方法的上限来评估退化校正在重建中的有效性,该上限代表如果采集的数据不受衰减和散射退化的影响,每种方法将达到的效果。在实验中,作者使用基于 4D NURBS 的心脏-胸体(NCAT)体模的蒙特卡罗模拟心脏门控 SPECT 成像,该体模具有不同的患者几何形状和病变设置,其中模拟的真实情况是已知的,以便进行定量评估。
结果表明,在重建中使用时间处理(上述方法 1、4 和 5)可以大大提高心肌的重建质量,无论是在误差水平还是灌注缺陷检测方面。在低计数门控研究中,它的影响甚至比其他退化因素更大。衰减和散射校正都可以降低所有方法中心肌的误差水平;特别是在 4D 中,与无校正相比,偏置可以降低四倍。在散射校正中观察到噪声水平略有增加。随着退化校正与时间滤波的细化相结合,在三组临床采集的重建结果中,观察到心脏壁外观有显著改善。
校正分辨率、衰减、散射和运动模糊等退化因素都可以提高心脏门控 SPECT 重建的图像质量。然而,它们的有效性也可能因所使用的重建算法而异。衰减和散射校正都可以有效地降低重建的 LV 壁的偏置水平,尽管散射校正也观察到增加了方差水平。在重建中使用时间处理对心肌的准确性比校正其他退化因素的影响更大。总体而言,在 4D 重建中使用退化校正被证明对提高门控图像中心肌的重建准确性和灌注缺陷的检测能力最有效。