HPC for iterative image reconstruction in CT

HPC for iterative image reconstruction in CT
复制标题

用于 CT 迭代图像重建的 HPC

DOI:
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发表时间:
2008
期刊:
Canadian Conference on Computer Science & Software Engineering
影响因子:
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通讯作者:
P. Thulasiraman
P. Thulasiraman
中科院分区:
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文献类型:
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作者:
C. Melvin;Meilian Xu;P. Thulasiraman

文献摘要

被引文献

相似文献

计算机断层扫描(CT)的代数重建技术(ART)已被证明可以产生更好的图像,投影更少,从而减少X射线成像致癌性的副作用。然而,ART的迭代性质由于长的处理时间而禁止其商业用途。利用高性能计算机(HPC)进行并行处理是加速ART算法的一种方法. 并行计算和CT的文献中讨论的工作主要集中在傅立叶技术的基础上的算法,与ART技术的并行方法的发展缺乏。其主要原因是该算法需要大量的计算。随着信息技术和先进的体系结构的繁荣,我们在本文中表明,ART算法可以在高性能计算机上并行化,具有显着的性能增益,同时保持图像质量。 在本文中,我们研究的效率,ART在共享内存的机器上提供加拿大西部研究网格联盟,而不妨碍图像质量。我们表明,一个6处理器的IBM P-服务器可以重建相同的图像从36个角度在大约5.038秒(36个处理器是1.183秒),效率为93.35%。换句话说,并行算法重建可以在与180度顺序傅立叶反投影重建大约相同的时间量内完成,产生近似相等的图像质量,剂量减少80%。
Algebraic Reconstruction Techniques (ART) for computed tomography (CT) have proven to produce better images with fewer projections, hence, reducing the side-effects of the carcinogenic nature of X-ray imaging. However, the iterative nature of ART prohibits its commercial use because of the long processing time. Parallel processing through high performance computers (HPC) is one solution to speedup ART algorithm. The work discussed in the literature on parallel computing and CT primarily focuses on the algorithms based on Fourier techniques, with a lack of development of parallel approaches for ART techniques. The main reason for this has been the extensive computational requirements needed for this algorithm. With the boom in information technology and advanced architectures, we show in this paper that the ART algorithm can be parallelized on high performance computers, with significant performance gain while maintaining the image quality. In this paper, we examine the efficiency of ART on a shared memory machine available on the Western Canada Research Grid consortium without impeding image quality. We show that a 6 processor IBM P-server could reconstruct the same image from 36 angles in approximately 5.038 seconds (36 processors is 1.183 seconds), with an efficiency of 93.35%. In other words, a parallel algorithm reconstruction could be done in about the same amount of time as a 180 angle sequential Fourier back projection reconstruction, yielding approximately equivalent image quality, with an 80% reduction in dose.