插值代数重建算法的计算量主要集中在计算每个像素的投影地址。
The main computation of IART is in computing projection address of pixels.
实验结果表明改进后的平行束插值代数重建算法的计算复杂度得到显著改善。
We make use of relate address of pixels projection and symmetry of image. The numerical experiment results show that the time of reconstruction shortens distinctly.
实验结果表明，与传统的基于正方形像素的插值代数重建算法相比，该算法显著地提高了重建速度。
The results of experiment show that the reconstruction speed is largely promoted compared with the traditional square-pixel-based IART algorithm.
采用代数重建算法处理由电容层析成像系统所采集的投影数据可以获得较高质量的图像，但其耗时较多。
Algebraic reconstruction algorithm (ART) is used to process projections from electrical capacitance tomographic systems and to reconstruct high qualitative images, but it need more time.
详细分析了投影噪声、投影方向数、场分布性质对重建精度的影响，并与代数迭代重建算法结果进行对比。
The effects of noise, view numbers and distribution are analyzed and this algorithm is compared with ART algorithm.
该算法重建的图像比常用的滤波反投影和代数重建等算法得到的精度高。
The image reconstructed by this algorithm is better in the reconstruction accuracy than that reconstructed by the filtered backprojection and algebraic reconstruction techniques.
采用弯曲射线追踪算法计算走时，分别用最小二乘QR分解算法与代数重建技术就恰定方程组、超定方程组与欠定方程组进行了成像计算。
LSQR and ART algorithms are applied separately to calculate tomography for the determined system of equation, overdetermined system of equation and underdetermined system of equation.
采用弯曲射线追踪算法计算走时，分别用最小二乘QR分解算法与代数重建技术就恰定方程组、超定方程组与欠定方程组进行了成像计算。
LSQR and ART algorithms are applied separately to calculate tomography for the determined system of equation, overdetermined system of equation and underdetermined system of equation.
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