Incorporation of Anatomical MR Data for Improved Dunctional Imaging with PET
Incorporation of Anatomical MR Data for Improved Dunctional Imaging with PET
复制标题
整合解剖 MR 数据以改进 PET 功能成像
DOI：
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发表时间：
1991
期刊：
影响因子：
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通讯作者：
Xia Yan
中科院分区：
文献类型：
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作者：
R. Leahy;Xia Yan
与目前在大多数临床PET系统中使用的过滤反投影方法相比，用于PET图像重建的统计方法提供了几个潜在的优点：(1)真实数据形成过程可以被准确地建模，以包括观察过程的泊松性质和诸如衰减、散射、探测器效率和随机的因素；以及(2)可以使用图像的先验统计模型来对所需空间分布的大致平滑性质进行建模，并且可以包括诸如图像中解剖边界的存在以及因此潜在的不连续性之类的信息。在本文中，我们提出了一种用于PET图像重建的贝叶斯算法，该算法利用磁共振图像来提供关于PET图像中潜在不连续点位置的信息。这是通过对图像使用马尔可夫随机场模型来实现的，该模型结合了对不连续的存在进行建模的“线过程”。在没有先验边缘信息可用的情况下，可以直接从数据估计该直线过程。当来自MR图像的边缘可用时，该信息被引入为图像中的一组已知的先验线位置。通过计算机模拟证明，在重建过程中使用直线处理可以显著改善重建图像的质量，特别是当先前的MR边缘信息可用时。
A statistical approach to PET image reconstruction offers several potential advantages over the filtered backprojection method currently employed in most clinical PET systems: (1) the true data formation process may be modeled accurately to include the Poisson nature of the observation process and factors such as attenuation, scatter, detector efficiency and randoms; and (2) an a priori statistical model for the image may be employed to model the generally smooth nature of the desired spatial distribution and to include information such as the presence of anatomical boundaries, and hence potential discontinuities, in the image. In this paper we develop a Bayesian algorithm for PET image reconstruction in which a magnetic resonance image is used to provide information about the location of potential discontinuities in the PET image. This is achieved through the use of a Markov random field model for the image which incorporates a “line process” to model the presence of discontinuities. In the case where no a priori edge information is available, this line process may be estimated directly from the data. When edges are available from MR images, this information is introduced as a set of known a priori line sites in the image. It is demonstrated through computer simulation, that the use of a line process in the reconstruction process has the potential for significant improvements in reconstructed image quality, particularly when prior MR edge information is available.