Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD 21287, USA.
IEEE Trans Med Imaging. 2011 Jun;30(6):1169-83. doi: 10.1109/TMI.2010.2087031. Epub 2010 Oct 14.
In simultaneous dual-isotope myocardial perfusion SPECT (MPS) imaging, data are simultaneously acquired to determine the distributions of two radioactive isotopes. The goal of this work was to develop penalized maximum likelihood (PML) algorithms for a novel cross-tracer prior that exploits the fact that the two images reconstructed from simultaneous dual-isotope MPS projection data are perfectly registered in space. We first formulated the simultaneous dual-isotope MPS reconstruction problem as a joint estimation problem. A cross-tracer prior that couples voxel values on both images was then proposed. We developed an iterative algorithm to reconstruct the MPS images that converges to the maximum a posteriori solution for this prior based on separable surrogate functions. To accelerate the convergence, we developed a fast algorithm for the cross-tracer prior based on the complete data OS-EM (COSEM) framework. The proposed algorithm was compared qualitatively and quantitatively to a single-tracer version of the prior that did not include the cross-tracer term. Quantitative evaluations included comparisons of mean and standard deviation images as well as assessment of image fidelity using the mean square error. We also evaluated the cross tracer prior using a three-class observer study with respect to the three-class MPS diagnostic task, i.e., classifying patients as having either no defect, reversible defect, or fixed defects. For this study, a comparison with conventional ordered subsets-expectation maximization (OS-EM) reconstruction with postfiltering was performed. The comparisons to the single-tracer prior demonstrated similar resolution for areas of the image with large intensity changes and reduced noise in uniform regions. The cross-tracer prior was also superior to the single-tracer version in terms of restoring image fidelity. Results of the three-class observer study showed that the proposed cross-tracer prior and the convergent algorithms improved the image quality of dual-isotope MPS images compared to OS-EM.
在同时双示踪心肌灌注 SPECT(MPS)成像中,同时获取数据以确定两种放射性同位素的分布。本工作的目的是开发惩罚最大似然(PML)算法,用于一种新的交叉示踪剂先验,该先验利用了从同时双示踪剂 MPS 投影数据重建的两幅图像在空间上完全配准的事实。我们首先将同时双示踪剂 MPS 重建问题表述为联合估计问题。然后提出了一种耦合两幅图像体素值的交叉示踪剂先验。我们开发了一种迭代算法,根据可分离的替代函数,基于此先验,从最大后验估计重建 MPS 图像。为了加速收敛,我们基于完全数据 OS-EM(COSEM)框架,为交叉示踪剂先验开发了一种快速算法。我们将所提出的算法与不包括交叉示踪项的单示踪先验的版本进行了定性和定量比较。定量评估包括比较均值和标准差图像以及使用均方误差评估图像保真度。我们还使用三分类观察者研究,根据三分类 MPS 诊断任务,评估了交叉示踪剂先验,即分类患者是否存在无缺陷、可逆缺陷或固定缺陷。对于这项研究,与常规的有序子集期望最大化(OS-EM)重建和后滤波进行了比较。与单示踪先验的比较表明,在图像中强度变化较大的区域具有相似的分辨率,在均匀区域噪声降低。在图像保真度恢复方面,交叉示踪剂先验也优于单示踪剂先验。三分类观察者研究的结果表明,与 OS-EM 相比,所提出的交叉示踪剂先验和收敛算法提高了双示踪剂 MPS 图像的图像质量。