Magnetic resonance-guided positron emission tomography image reconstruction.
Magnetic resonance-guided positron emission tomography image reconstruction.
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DOI：
10.1053/j.semnuclmed.2012.08.006
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发表时间：
2013-01
影响因子：
4.9
通讯作者：
Leahy RM
中科院分区：
文献类型：
--
作者：
Bai B;Li Q;Leahy RM
PET图像的分辨率受到正电子湮灭物理和光子符合检测仪器的限制。与过滤后的反向投影重建方法相比，基于模型的方法结合了精确的物理和统计模型，在重建图像质量方面取得了显著的改进。然而，经常有人提出，通过结合解剖信息，可以提高PET图像的分辨率和噪声特性，从而更好地定量或检测病变。随着最近联合磁共振- pet扫描仪的发展，有可能收集本质上共配准的磁共振图像。因此，如果有合适的方法，现在可以在PET重建中常规使用解剖信息。在本文中，我们回顾了过去20年的研究工作，以发展这些方法。我们讨论了基于使用马尔可夫随机场先验和联合信息或熵度量的方法。描述了这些方法的总体框架，并讨论了它们的性能、长期潜力和局限性。
The resolution of PET images is limited by the physics of positron-electron annihilation and instrumentation for photon coincidence detection. Model based methods that incorporate accurate physical and statistical models have produced significant improvements in reconstructed image quality when compared to filtered backprojection reconstruction methods. However, it has often been suggested that by incorporating anatomical information, the resolution and noise properties of PET images could be improved, leading to better quantitation or lesion detection. With the recent development of combined MR-PET scanners, it is possible to collect intrinsically co-registered MR images. It is therefore now possible to routinely make use of anatomical information in PET reconstruction, provided appropriate methods are available. In this paper we review research efforts over the past 20 years to develop these methods. We discuss approaches based on the use of both Markov random field priors and joint information or entropy measures. The general framework for these methods is described and their performance and longer term potential and limitations discussed.
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影响因子：
10.6
作者：
HEBERT, T;LEAHY, R
通讯作者：
LEAHY, R
影响因子：
3.5
作者：
COLSHER, JG
通讯作者：
COLSHER, JG
影响因子：
9.3
作者：
Delso, Gaspar;Fuerst, Sebastian;Ziegler, Sibylle I.
通讯作者：
Ziegler, Sibylle I.
影响因子：
2.5
作者：
Candès, EJ;Romberg, J;Tao, T
通讯作者：
Tao, T
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10.6
作者：
Fessler, JA
通讯作者：
Fessler, JA