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首页> 外文期刊>Medical Physics >A residual correction method for high-resolution PET reconstruction with application to on-the-fly Monte Carlo based model of positron range.
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A residual correction method for high-resolution PET reconstruction with application to on-the-fly Monte Carlo based model of positron range.

机译：一种用于高分辨率PET重建的残差校正方法，该方法适用于基于Monte Carlo的动态正电子范围模型。

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摘要

PURPOSE: The quality of tomographic images is directly affected by the system model being used in image reconstruction. An accurate system matrix is desirable for high-resolution image reconstruction, but it often leads to high computation cost. In this work the authors present a maximum a posteriori reconstruction algorithm with residual correction to alleviate the tradeoff between the model accuracy and the computation efficiency in image reconstruction. METHODS: Unlike conventional iterative methods that assume that the system matrix is accurate, the proposed method reconstructs an image with a simplified system matrix and then removes the reconstruction artifacts through residual correction. Since the time-consuming forward and back projection operations using the accurate system matrix are not required in every iteration, image reconstruction time can be greatly reduced. RESULTS: The authors apply the new algorithm to high-resolution positron emission tomography reconstruction with an on-the-fly Monte Carlo (MC) based positron range model. Computer simulations show that the new method is an order of magnitude faster than the traditional MC-based method, whereas the visual quality and quantitative accuracy of the reconstructed images are much better than that obtained by using the simplified system matrix alone. CONCLUSIONS: The residual correction method can reconstruct high-resolution images and is computationally efficient.
机译：目的：层析图像的质量直接受到图像重建中使用的系统模型的影响。精确的系统矩阵是高分辨率图像重建所需要的，但它通常会导致高计算成本。在这项工作中，作者提出了一种具有残差校正的最大后验重建算法，以减轻图像重建中模型精度和计算效率之间的折衷。方法：与假定系统矩阵准确的传统迭代方法不同，该方法使用简化的系统矩阵重建图像，然后通过残差校正去除重建伪像。由于不需要在每次迭代中都使用精确的系统矩阵进行费时的正向和反向投影操作，因此可以大大减少图像重建时间。结果：作者将新算法应用于基于实时蒙特卡洛（MC）的正电子射程模型的高分辨率正电子发射断层成像重建中。计算机仿真表明，该新方法比传统的基于MC的方法快一个数量级，而重建图像的视觉质量和定量精度要比仅使用简化的系统矩阵获得的视觉质量和定量精度要好得多。结论：残差校正方法可以重建高分辨率图像，并且计算效率高。

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