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首页> 外文期刊>Medical Physics >An MR image-guided, voxel-based partial volume correction method for PET images
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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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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 ci/cc for cerebrospinal fluid (CSF), 228 ci/cc for white matter (WM), and 621 ci/cc for gray matter (GM), the method has improved the radioactivity quantification from 186 16 ci/cc to 30 7 ci/cc in CSF, 317 15 ci/cc to 236 10 ci/cc for WM, 438 4 ci/cc to 592 5 ci/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取的定量错误。提出了一种PET部分体积校正方法,以减弱部分体积模糊并产生基于体素的校正PET图像。方法:通过将部分体积效应建模为PET扫描器的点扩展函数的卷积,通过迭代解卷积和保留边缘的平滑度约束来校正重建的PET图像。构建约束以恢复从共注册的MR图像中提取的不连续性,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。对合成的大脑FDG-PET数据和幻像MRI-PET实验进行了评估。结果:在模拟数据中,有效地恢复了对象的真实PET活动,该对象的大小大于点扩散函数的一半的最大宽度。局部体积校正方法在数量上可与GTM方法相比。对于真实活性为脑脊髓液(CSF)为0 ci / cc,白质(WM)为228 ci / cc,灰质(GM)为621 ci / cc的合成FDG-PET,该方法改进了放射性定量。 CSF中为186 16 ci / cc至30 7 ci / cc,WM为317 15 ci / cc至236 10 ci / cc,GM为438 4 ci / cc至592 5 ci / cc。视觉和定量评估都显示了在合成和幻像实验中部分体积校正的改进。结论:部分体积校正方法改善了PET图像的定量。该方法与GTM方法相当,但是不需要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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