Tomographic Reconstruction from Noisy Data

机译：从噪声数据重建层析成像

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A generalized maximum entropy based approach to noisy inverse problems such as the Abel problem, tomography, or deconvolution is discussed and reviewed. Unlike the more traditional regularization approach, in the method discussed here, each unknown parameter (signal and noise) is redefined as a proper probability distribution within a certain pre-specified support. Then, the joint entropies of both, the noise and signal probabilities, are maximized subject to the observed data. We use this method for tomographic reconstruction of the soft x-ray emissivity of hot fusion plasma.

机译：讨论并审查了基于广义最大熵的方法来解决诸如Abel问题，层析成像或反卷积之类的噪声反问题。与更传统的正则化方法不同，在此处讨论的方法中，每个未知参数（信号和噪声）都被重新定义为某个预先指定支持内的适当概率分布。然后，根据观测数据最大化噪声和信号概率的联合熵。我们将这种方法用于热聚变等离子体的软X射线发射率的层析成像重建。

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《Bayesian Inference and Maximum Entropy Methods in Science and Engineering》|2001年|p.248-258|共11页
会议地点 Baltimore MD(US)
作者
Amos Golan; Volker Dose;
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作者单位

Department of Economics, American University, 4400 Massachusetts Ave., NW Washington, DC 20016-8029, USA;

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会议组织
原文格式 PDF
正文语种 eng
中图分类科学、科学研究;
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专利

1. Diffusion reconstruction from very noisy tomographic data [J] . Louis A.K. Inverse problems and imaging . 2010,第4期

机译：从非常嘈杂的断层图像数据中进行扩散重建
2. Tomographic reconstruction from non-calibrated noisy projections in non-destructive evaluation [J] . Chalmond B., Lavayssiere B., Coldefy F. Inverse Problems: An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data . 1999,第2期

机译：无损评估中非校准噪声投影的层析成像重建
3. Estimating the viewing parameters of random, noisy projections of asymmetric objects for tomographic reconstruction [J] . Lauren P.D., Nandhakumar N. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1997,第5期

机译：估计用于层析重建的非对称物体的随机，嘈杂投影的观看参数
4. Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data [C] . Kodali S.P., Deb K., Munshi P., IEEE Congress on Evolutionary Computation;CEC '09 . 2009

机译：将GA和MART进行比较，可以对有无输入数据的超声图像进行层析成像重建
5. Image reconstruction of muon tomographic data using a density-based clustering method. [D] . Perry, Kimberly B. 2015

机译：使用基于密度的聚类方法对μ子层析成像数据进行图像重建。
6. Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data [O] . Navchetan Awasthi, Sandeep Kumar Kalva, Manojit Pramanik, 2021

机译：维数减少了塞子和播放前沿用于改善具有有限噪声数据的光声断层图像
7. DIFFUSION RECONSTRUCTION FROM VERY NOISY TOMOGRAPHIC DATA [O] . Alfred K. Louis 2015

机译：从非常危险的断层数据扩散重建

Tomographic Reconstruction from Noisy Data

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