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    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.

    Reference
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    2 孙景鳌,蔡安妮,何拥军. CT 图像的快速算法.北京邮电大学学报, 1995,18(3):5-15.
    3 张朝宗,郭志平,董宇峰,张和平.用几何参数表方法实现快速重建CT图象.清华大学学报, 1998,38(7):47-49.
    4 傅健,路宏年,张全红.扇束工业CT重建算法速度优化. CT 理论与应用研究, 2002,11(3):16-19.
    5 Hsieh. Computed Tomography Principle, Design, Arti- facts and Recent Adances. Bellingham. SPIE PRESS, 2004. 28-29.
    6 刘晓平.扇束卷积反投影法的程序优化. CT理论与应用研究, 1996,5(1):35-37.
    7 Francisco J, Ubaldo M, Jose L, Jose M. Fast Image Recovery Using Dynamic Load Balancing in Parallel Architectures, by Means of Incomplete Projections. Image Processing, 2001,10(4):493-498.
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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

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History
  • Received:August 18,2009
  • Revised:September 30,2009
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