A New Model of Sparse Dictionary Based Material Elemental Decomposition in Multi-Energy CT for Proton Stopping Power Ratio Estimation

Shen C.; Qin N.; Jung H.; Yang M.; Jia X.

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A New Model of Sparse Dictionary Based Material Elemental Decomposition in Multi-Energy CT for Proton Stopping Power Ratio Estimation

机译：用于质子停止功率比估计的多能量CT的稀疏词典材料元素分解的新模型

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《Medical Physics》 |2018年第6期|共1页
作者
Shen C.; Qin N.; Jung H.; Yang M.; Jia X.;
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Univ Texas Southwestern Med Ctr Dallas Dallas TX 75390 USA;

Univ Texas Southwestern Med Ctr Dallas Dallas TX 75390 USA;

Univ Texas Southwestern Med Ctr Dallas Dallas TX 75390 USA;

Univ Texas Southwestern Med Ctr Dallas Dallas TX 75390 USA;

Univ Texas Southwestern Med Ctr Dallas Dallas TX 75390 USA;

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正文语种 eng
中图分类基础医学;
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1. A New Model of Sparse Dictionary Based Material Elemental Decomposition in Multi-Energy CT for Proton Stopping Power Ratio Estimation [J] . Shen C., Qin N., Jung H., Medical Physics . 2018,第6期

机译：用于质子停止功率比估计的多能量CT的稀疏词典材料元素分解的新模型
2. Optimal energy selection for proton stopping-power-ratio estimation using dual-energy CT-based monoenergetic imaging [J] . Je, E., Lee, Physics in medicine and biology. . 2019,第19期

机译：基于双能CT的单元成像的质子停止功率比估计的最佳能量选择
3. Systematic analysis of the impact of imaging noise on dual-energy CT-based proton stopping power ratio estimation [J] . Lee Hugh H. C., Li Bin, Duan Xinhui, Medical Physics . 2019,第5期

机译：显影噪声对基于双能CT的质子停止功率比估计的系统分析
4. Stopping power of protons for energies and materials of therapeutic importance using Monte Carlo simulations [C] . Ahmet Bozkurt, Ismail Hakki Sarpun International Conference on Radiations and Applications . 2018

机译：使用Monte Carlo模拟停止质量和治疗重要性的能量和材料的功率
5. Exploiting sparsity and dictionary learning to efficiently classify materials in hyperspectral imagery. [D] . Pound, Andrew E. 2014

机译：利用稀疏性和字典学习来有效地分类高光谱图像中的材料。
6. Material Elemental Decomposition in Dual and Multi-energy CT via a Sparsity-Dictionary Approach for Proton Stopping Power Ratio Calculation [O] . Chenyang Shen, Bin Li, Liyuan Chen, -1

机译：质子停止功率比计算的稀疏-字典法在双能和多能CT中的元素分解
7. A Bayesian approach to solve proton stopping powers from noisy multi-energy CT data [O] . Arthur Lalonde, Esther Bär, Hugo Bouchard 2017

机译：从嘈杂的多能量CT数据解决质子停止功率的贝叶斯方法

A New Model of Sparse Dictionary Based Material Elemental Decomposition in Multi-Energy CT for Proton Stopping Power Ratio Estimation

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