基于投影域数据恢复的低剂量CT稀疏角度重建

基金项目:

国家自然科学基金(81230035)

国家科技支撑计划(2011BAI12B03)

详细信息

Sparse-view Reconstruction from Restored Low-dose CT Projections

Biomedical Engineering School,Fourth Military Medical University,Xi'an 710032,China

摘要: 针对目前CT的X射线电离辐射危害,提出了一种基于低剂量CT投影数据进行稀疏角度重建的方法来降低辐射剂量。本方法首先对低剂量CT的投影数据采用惩罚加权最小二乘(PWLS)方法进行去噪处理,然后对去噪后的投影数据进行稀疏角度的CT图像重建。对Shepp-Logan模体仿真实验及真实实验数据重建结果表明:本文提出的基于低剂量CT的稀疏重建方法可有效地抑制重建图像噪声和条形伪影,实现稀疏角度的低剂量CT图像重建。
- 低剂量CT /
- CT重建 /
- 噪声抑制 /
- 稀疏角度 /
- 惩罚加权最小二乘 /
- 全变分最小化
Abstract: In view of the X-ray ionizing radiation damage effects of CT,we propose a method of sparse-view reconstruction based on low-dose CT projection data to reduce the radiation dose.This method uses a penalized weighted least square(PWLS) method for low-dose CT projection denoise,and then reconstructs the CT image from few views of the de-noised projection data.Reconstruction results from a simulation experiment with a Shepp-Logan phantom and real experiment data show that:this method can effectively suppress noise and strip artifacts in reconstructed images,as well as reconstruct good quality images from low-dose few-view CT data.
- low-dose CT /
- denoise /
- few-view /
- penalized weighted least-squares /
- TV minimization