基于最小区域的快速CT图像重建
Fast CT Image Reconstruction Based on Minimal Reconstruction Domain
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摘要: 由于工业CT重建目标的形状差异较大,针对传统CT图像重建算法均选取矩形重建区域,提出一种基于最小区域的图像重建方法.首先由扫描到的投影数据通过直线生成算法构建重建目标的最小区域包络图;然后提出一种快速区域填充算法,生成图像重建的最小区域.该方法将重建区域限定在最小区域内,减少了不必要的计算,提高了重建速度.最后通过仿真实验与传统的重建方法进行比较,表明了文中方法的有效性.Abstract: Since the shape of the target objects may be very different during industrial computed tomography testing,conventional CT image reconstruction algorithms usually assume a rectangular region as the reconstruction domain.A fast image reconstruction method based on minimal region is proposed in this paper.Firstly,the envelope of the minimal projection region of the target object is obtained by using a line scan conversion algorithm on the scanned projection data.Then,a fast region filling algorithm is applied to generate the minimal region for reconstruction.This method limits the reconstruction domain to a minimal region,hence reducing unnecessary computation and accelerating the reconstruction process.Experimental results show the effectiveness of the proposed method compared with the conventional methods.
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