A Cone-Beam CT Reconstruction Algorithm Constrained by Non-local Prior from Sparse-View Data

机译：由稀疏视图数据的非本地限制的锥形光束CT重建算法

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This paper introduces non-local prior into CBCT reconstruction from sparse-view data in the platform of CUDA. We use non-local filter function to constrain the objective function in the iterative method, so that noise and artifacts are suppressed better and details are kept as much as possible. Experiments show that compared with local MRF idea, the prior model of non-local has better performance in suppressing noise and artifacts caused by sparse sampling.

机译：本文从CUDA平台中的稀疏视图数据引入了非本地CBCT重建。我们使用非本地过滤器功能来限制迭代方法中的目标函数，从而更好地抑制噪声和伪像并保持细节尽可能多。实验表明，与本地MRF思想相比，非局部模型具有更好的性能，抑制由稀疏采样引起的噪声和伪影。

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《International conference on sensing and imaging》|2019年|xii 430 p.|共8页
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Zhichao Zhang; Yining Hu; Limin Luo;
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中图分类信息处理（信息加工）;
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专利

1. Time-resolved cardiac interventional cone-beam CT reconstruction from fully truncated projections using the prior image constrained compressed sensing (PICCS) algorithm [J] . LauzierP.T., TangJ., ChenG.-H. Physics in medicine and biology. . 2012,第9期

机译：使用先前的图像约束压缩传感（PICCS）算法从完全截断的投影中重建时间分辨的心脏介入性锥形束CT
2. Spectral Prior Image Constrained Compressed Sensing Reconstruction for Photon-Counting Detector Based CT Using a Non-Local Means Filtered Prior (NLM-SPICCS) [J] . Rajendran K., Tao S., Zhou W., Medical Physics . 2018,第6期

机译：光谱先前图像限制用于使用非局部方式过滤的光子计数检测器的CT的压缩检测重建（NLM-SPICC）
3. Superiorized algorithm for reconstruction of CT images from sparse-view and limited-angle polyenergetic data [J] . Humphries T., Winn J., Faridani A. Physics in medicine and biology. . 2017,第16期

机译：从稀疏视图和有限角度多膜多簇数据重建CT图像的优势算法
4. A Cone-Beam CT Reconstruction Algorithm Constrained by Non-local Prior from Sparse-View Data [C] . Zhichao Zhang, Yining Hu, Limin Luo International conference on sensing and imaging . 2019

机译：由稀疏视图数据的非本地限制的锥形光束CT重建算法
5. Cone-beam reconstruction algorithms development and validation for C-arm cone-beam CT. [D] . Zhuang, Tingliang. 2008

机译：C臂锥束CT的锥束重建算法开发和验证。
6. Time-resolved cardiac interventional cone-beam CT reconstruction from fully-truncated projections using the prior image constrained compressed sensing (PICCS) algorithm [O] . Pascal Thériault Lauzier, Jie Tang, Guang-Hong Chen -1

机译：时间分辨从使用现有图像完全截短的突起心脏介入锥束CT重建约束压缩传感（pICCs）算法
7. Application of incremental algorithms to CT image reconstruction for sparse-view, noisy data [O] . Rose Sean, Andersen Martin Skovgaard, Sidky Emil Y., 2014

机译：增量算法在稀疏视图噪声数据CT图像重建中的应用

A Cone-Beam CT Reconstruction Algorithm Constrained by Non-local Prior from Sparse-View Data

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