计算机工程与应用2019，Vol.55Issue(10)：218-224,7.DOI:10.3778/j.issn.1002-8331.1804-0100
基于Spark的CT图像FBP重建算法程序并行设计
Parallel Design of FBP Reconstruction Algorithm for CT Image Based on Spark
摘要
Abstract
To design a filtered back projection algorithm, which is often used in CT image reconstruction and can run in the parallel mode of the big data framework Spark, so as to improve the computational efficiency of the algorithm and realize the reconstruction of batch images and shorten the image reconstruction time. Based on the distributed computing framework Spark, the image processing tool Thunder is used to design the filtered back projection algorithm into a paral-lel program mode in the image reconstruction process. Experiments show that with the continuous expansion of the Spark cluster size, under the premise of ensuring the quality of reconstructed images, the reconstruction of a certain number of CT images is significantly shorter compared to the stand-alone mode, and the parallel filtered back projection algorithm has almost complete speedup. The filtered back projection algorithm based on Spark cluster can significantly improve the CT image reconstruction speed and achieve a large number of parallel image reconstructions. It can expand other CT image reconstruction algorithms, and has important reference significance for the construction of remote medical image recon-struction platform.关键词
CT图像重建/滤波反投影/Spark/并行计算/ThunderKey words
CT image reconstruction/filtered back projection/Spark/parallel computing/Thunder分类
信息技术与安全科学引用本文复制引用
曾有灵,陈耿铎,熊威,李喆..基于Spark的CT图像FBP重建算法程序并行设计[J].计算机工程与应用,2019,55(10):218-224,7.基金项目
国家社会科学基金(No.15BGL084) （No.15BGL084）
上海市社会科学基金面上项目(No.2017BGL015) （No.2017BGL015）
上海市科委重大科技攻关项目(No.15dzll00900). （No.15dzll00900）
