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Received:August 18, 2009 Revised:September 30, 2009
Received:August 18, 2009 Revised:September 30, 2009
中文摘要: 提出了一种针对特定密度检测的快速FBP算法。首先进行不完全数据投影重建，然后依据对密度的先验知识对初步重建图像进行聚类分割，最后找出感兴趣区域来精确重建。文末对该方法进行了实验,并将实验结果和传统FBP算法、几何参数表法做出主观、客观上的比较评价。结果表明，该算法不但能在很大程度上提高传统FBP算法的速度，而且对于感兴趣区域的重建质量上没有影响。
Abstract:A fast FBP algorithm for special density detection is given in this article. At first, reconstruction of image with incomplete data is made. Second, image is clustered and partitioned based on the density known. Lastly, the interesting area can be reconstructed exactly. The results of experiment were compared with FBP algorithm and the algorithm using geometric parameter table at the end of article. The results indicate that the algorithm is not only faster than FBP but also has no effect on the interest area reconstruction.
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基金项目:国家自然科学基金(10635070)
引用文本：
杨波,郑飞,郭琦,孔斌.一种针对特定密度检测的快速FBP算法.计算机系统应用,2010,19(5):58-62
YANG Bo,ZHENG Fei,GUO Qi,KONG Bin.A Fast FBP Algorithm for Special Density Detection.COMPUTER SYSTEMS APPLICATIONS,2010,19(5):58-62
杨波,郑飞,郭琦,孔斌.一种针对特定密度检测的快速FBP算法.计算机系统应用,2010,19(5):58-62
YANG Bo,ZHENG Fei,GUO Qi,KONG Bin.A Fast FBP Algorithm for Special Density Detection.COMPUTER SYSTEMS APPLICATIONS,2010,19(5):58-62
