MART算法快速高质量图像重建研究
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TP391

基金项目:


Fast and High Quality Image Reconstruction for Multiplicative ART
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    ART(Algebraic Reconstruction Technique)算法是一种典型的迭代图像重建算法,适合于不完全投影数据图像重建。为了提高乘型ART(Multiplicative ART, MART)算法的重建质量,提出了一种基于亚像素的图像重建方法。首先将原始图像中的每个像素等分解为四个亚像素,然后提出一种高效的射线与像素的求交算法来计算权因子和亚像素索引,利用MART算法重建得到高分辨率重建图像,最后通过合并亚像素图像得到原始分辨率的高质量重建图像。实验结果表明文中提出的方法非常有效,与传统方法相比取得了3倍以上的重建加速比,图像重建质量显著提高。

    Abstract:

    The algebraic reconstruction technique (ART) is a classical iterative image reconstruction algorithm, which is suit for image reconstruction from incomplete projection data. In order to improve the image reconstruction quality of MART (Multiplicative ART), this paper presents an image reconstruction method based on sub-pixel. Firstly, we equally decompose each pixel of original image into four sub-pixels. Then we present a fast intersection algorithm of ray-pixel to calculate weight coefficients and index of sub-pixel. The reconstructed high resolution image is obtained using MART, from which we can obtain the high quality reconstruction image with original resolution by merging sub-pixels. Experimental result shows that the proposed method is very effective, compared with traditional method, we can get a reconstruction speedup over 3 times and improve the reconstructed image quality obviously.

    参考文献
    相似文献
    引证文献
引用本文

梅创社. MART算法快速高质量图像重建研究[J]. 科学技术与工程, 2012, 12(24): .
Mei ChuangShe. Fast and High Quality Image Reconstruction for Multiplicative ART[J]. Science Technology and Engineering,2012,12(24).

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2012-04-26
  • 最后修改日期:2012-04-26
  • 录用日期:2012-05-10
  • 在线发布日期: 2012-07-02
  • 出版日期:
×
律回春渐,新元肇启|《科学技术与工程》编辑部恭祝新岁!
亟待确认版面费归属稿件,敬请作者关注