基于不完备投影数据重建的四种迭代算法比较研究

基金项目:

国家自然科学基金(10905063)

详细信息

Comparison of Four Iterative Algorithm Based on Incomplete Projection Reconstruction

1. Key Laboratory of Nuclear Analytical Techniques, Institute of High Energy Physics, CAS, Beijing 100049, China;
2. Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing 100049, China;
3. Graduate University of Chinese Academy of Sciences, CAS, Beijing 100049, China

摘要: 在发射成像和穿透成像过程中,由于各种原因会造成投影数据不完备,若仍采用传统解析方法重建出的图像会产生伪影,而迭代算法则可以很好地改善图像质量。本文应用不同的迭代算法分别就真实标准线对测试卡的稀疏投影数据和有限角度投影数据进行重建,定量分析比较它们各自的优缺点,为几种迭代算法的工程或临床应用提供重要参考。
- 稀疏投影 /
- 有限角投影 /
- 迭代算法 /
- 图像总变差 /
- MAP
Abstract: In emission computerized tomography and transmission computerized tomography, the analytic algorithm reconstruction used incomplete data will result in image artifacts in the result reconstructed. But the iterative algorithm would improve the quality of reconstruction images. In this paper, four type iterative reconstruction algorithm is applied to experimental sparse projections and limited-angle projections of the resolution test phantom. Their advantage and disadvantages are analyzed quantitatively. The study will provide the reference for the clinical or engineering application of the algorithm.
- sparse projection /
- limited-angle projection /
- iterative algorithm /
- total variance (TV) /
- MAP