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An MR image-guided voxel-based partial volume correction method for PET images

机译:用于PET图像的MR图像引导的基于体素的部分体积校正方法

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摘要

>Purpose: Partial volume effect in positron emission tomography (PET) can cause incorrect quantification of radiopharmaceutical uptake in functional imaging. A PET partial volume correction method is presented to attenuate partial volume blurring and to yield voxel-based corrected PET images.>Methods: By modeling partial volume effect as a convolution of point spread function of the PET scanner, the reconstructed PET images are corrected by iterative deconvolution with an edge-preserving smoothness constraint. The constraint is constructed to restore discontinuities extracted from coregistered MR images but maintains the smoothness in radioactivity distribution. The correction is implemented in a Bayesian deconvolution framework and is solved by a conjugate gradient method. The performance of the method was compared with the geometric transfer matrix (GTM) method on a simulated dataset. The method was evaluated on synthesized brain FDG–PET data and phantom MRI–PET experiments.>Results: The true PET activity of objects with a size of greater than the full-width at half maximum of the point spread function has been effectively restored in the simulated data. The partial volume correction method is quantitatively comparable to the GTM method. For synthesized FDG–PET with true activity 0 μci/cc for cerebrospinal fluid (CSF), 228 μci/cc for white matter (WM), and 621 μci/cc for gray matter (GM), the method has improved the radioactivity quantification from 186 ± 16 μci/cc to 30 ± 7 μci/cc in CSF, 317 ± 15 μci/cc to 236 ± 10 μci/cc for WM, 438 ± 4 μci/cc to 592 ± 5 μci/cc for GM. Both visual and quantitative assessments show improvement of partial volume correction in the synthesized and phantom experiments.>Conclusions: The partial volume correction method improves the quantification of PET images. The method is comparable to the GTM method but does not need MR image segmentation or prior tracer distribution information. The voxel-based method can be particularly useful for combined PET/MRI studies.
机译:>目的:正电子发射断层扫描(PET)中的部分体积效应会导致功能成像中放射性药物摄入的定量错误。提出了一种PET部分体积校正方法,以减弱部分体积模糊并生成基于体素的校正PET图像。>方法:通过将部分体积效应建模为PET扫描仪点扩散函数的卷积,重建的PET图像通过具有边缘保留平滑度约束的迭代反卷积进行校正。构建约束以恢复从共配准的MR图像提取的不连续性,但保持放射性分布的平滑性。该校正在贝叶斯反卷积框架中实现,并通过共轭梯度法解决。在模拟数据集上,将该方法的性能与几何传递矩阵(GTM)方法进行了比较。该方法已通过合成的大脑FDG-PET数据和幻像MRI-PET实验进行了评估。>结果:尺寸大于点扩散一半最大宽度的物体的真实PET活性功能已在模拟数据中有效恢复。局部体积校正方法在数量上可与GTM方法相比。对于合成的FDG-PET,对于脑脊液(CSF)真实活性为0μci/ cc,对于白色物质(WM)而言为228μci/ cc,对于灰色物质(GM)为621μci/ cc,该方法改进了放射性定量CSF中为186±16μci/ cc至30±7μci/ cc,WM为317±15μci/ cc至236±10μci/ cc,GM为438±4μci/ cc至592±5μci/ cc。视觉和定量评估均显示了合成和幻像实验中部分体积校正的改进。>结论:部分体积校正方法可改善PET图像的定量。该方法与GTM方法相当,但不需要MR图像分割或先前的示踪剂分布信息。基于体素的方法对于PET / MRI组合研究尤其有用。

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