Bayesian Regularization in Nonlinear Imaging: Reconstructions From Experimental Data in Nonlinearized Microwave Tomography

Autieri R.; Ferraiuolo G.; Pascazio V.

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Bayesian Regularization in Nonlinear Imaging: Reconstructions From Experimental Data in Nonlinearized Microwave Tomography

机译：非线性成像中的贝叶斯正则化：从非线性微波层析成像中的实验数据重建

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In this paper, we investigate the robustness and the effectiveness of a microwave imaging technique, based on the Bayesian estimation theory, for the reconstruction of dielectric profiles. The method has been applied and validated on real experimental data. Our statistical-based inversion algorithm takes advantage of Bayesian regularization, which permits the inversion of a strongly nonlinear model using a Markov random field as an a priori statistical model of the unknown image. Such choice leads to a robust and effective nonlinear inversion method. The exhaustive analysis performed on the experimental data shows the good performance of the method.

机译：在本文中，我们研究了基于贝叶斯估计理论的微波成像技术的稳健性和有效性，该技术用于介电谱的重建。该方法已在实际实验数据上得到应用和验证。我们基于统计的反演算法利用贝叶斯正则化技术，该算法允许使用马尔可夫随机场作为未知图像的先验统计模型对强非线性模型进行反演。这种选择导致了鲁棒且有效的非线性反演方法。对实验数据进行的详尽分析显示了该方法的良好性能。

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《Geoscience and Remote Sensing, IEEE Transactions on》 |2011年第2期|p.801-813|共13页
作者
Autieri R.; Ferraiuolo G.; Pascazio V.;
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作者单位

Department of Technology (DiT), Università degli Studi Parthenope di Napoli, Napoli, Italy;

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正文语种 eng
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关键词
About Bayesian estimation; Markov random fields (MRFs); image formation; microwave tomography; nonlinear inversion method;

机译：关于贝叶斯估计;马尔可夫随机场;图像形成;微波层析成像;非线性反演方法;

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1. Nonlinear image reconstruction for electrical capacitance tomography using experimental data [J] . Manuchehr Soleimani, William R B Lionheart Measurement Science & Technology . 2005,第10期

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2. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imaging [J] . Ludovic de Rochefort, Tian Liu, Bryan Kressler, Magnetic Resonance in Medicine . 2010,第1期

机译：使用贝叶斯正则化从MR相位数据重建定量磁化率图：验证并应用于脑成像
3. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging. [J] . de Rochefort L, Liu T, Kressler Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine . 2010,第1期

机译：使用贝叶斯正则化从MR相位数据重建定量磁化率图：验证并应用于脑成像。
4. Bayesian regularization in non-linear imaging: Reconstructions from experimental data in microwave tomography [C] . Autieri Roberta, Ferraiuolo Giancarlo, Pascazio Vito European Signal Processing Conference . 2007

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5. Statistical image reconstruction for low-dose X-ray computed tomography: statistical models and regularization strategies [D] . Zhang, Hao. 2016

机译：低剂量X射线计算机断层摄影的统计图像重建：统计模型和正则化策略
6. Does the beta regularization parameter of bayesian penalized likelihood reconstruction always affect the quantification accuracy and image quality of positron emission tomography computed tomography? [O] . Zhifang Wu, Binwei Guo, Bin Huang, 2021

机译：贝叶斯惩罚似然重建的β正则化参数是否总始终影响正电子发射断层扫描的量化准确性和图像质量？
7. Bayesian Regularization in Non-Linear Imaging: Reconstructions from Experimental Data in Microwave Tomography [O] . Autieri Roberta, Ferraiuolo Giancarlo, Pascazio V. 2007

机译：非线性成像中的贝叶斯正则化：从微波层析成像中的实验数据重建

Bayesian Regularization in Nonlinear Imaging: Reconstructions From Experimental Data in Nonlinearized Microwave Tomography

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