计算机视觉
人工智能
投影(关系代数)
迭代重建
压缩传感
计算机科学
图像质量
离散余弦变换
锥束ct
领域(数学分析)
最大强度投影
图像(数学)
数学
计算机断层摄影术
算法
医学
放射科
血管造影
外科
数学分析
作者
Shoulie Xie,Weimin Huang,Tao Yang,Dajun Wu,Huiying Liu
出处
期刊:International Conference of the IEEE Engineering in Medicine and Biology Society
日期:2020-07-01
卷期号:: 1307-1310
被引量:9
标识
DOI:10.1109/embc44109.2020.9175367
摘要
This paper presents a new 3D CT image reconstruction for limited angle C-arm cone-beam CT imaging system based on total-variation (TV) regularized in image domain and L1-penalty in projection domain. This is motivated by the facts that the CT images are sparse in TV setting and their projections are sinusoid-like forms, which are sparse in the discrete cosine transform (DCT) domain. Furthermore, the artifacts in image domain are directional due to limited angle views, so the anisotropic TV is employed. And the reweighted L1penalty in projection domain is adopted to enhance sparsity. Hence, this paper applied the anisotropic TV-norm and reweighted L1-norm sparse techniques to the limited angle Carm CT imaging system to enhance the image quality in both CT image and projection domains. Experimental results also show the efficiency of the proposed method.Clinical Relevance-This new CT reconstruction approach provides high quality images and projections for practicing clinicians.
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