关键词: CT图像重建, 滤波反投影, Spark, 并行计算, Thunder

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 parallel 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 reconstruction platform.

Key words: CT image reconstruction, filtered back projection, Spark, parallel computing, Thunder