PBX稀疏CT投影PICCS图像重建算法

为了解决CT检测高聚物粘结炸药时,传统的滤波反投影重建算法(FBP)需要采集大量投影导致检测效率低以及从不完备投影重建图像噪声大、伪影严重、细节模糊等问题,选取稀疏投影CT扫描方式提高检测效率,采用先验图像约束的压缩感知重建算法(PICCS)抑制噪声,减少伪影,利用准静态单轴压缩三氨基三硝基苯(TATB)基高聚物黏结炸药(PBX)的损伤试件验证采用的CT扫描方式和重建算法,并将完备投影集FBP重建结果与稀疏投影集联合代数重建算法(SART)、PICCS两种算法重建结果进行主观和客观的对比评价。实验结果表明,PICCS用1/3稀疏投影集重建结果与完备投影集FBP重建结果相近,在满足对检测物体缺陷和内部结构观察、判断的前提下可以提高2倍左右检测效率,而且与SART重建图像相比,PICCS重建的图像伪影少,噪声小,细节清晰。

PICCS Image Reconstruction Algorithm for Sparse CT Projection of Polymer Bonded Explosive

In order to solve the problems of low efficiency of traditional filtered back projection reconstruction algorithm(FBP)and the noise,serious artifacts and blurred details of reconstructed image from incomplete projection when using CT to detect polymer-bonded explosives,sparse projection CT scanning method was chosen to improve detection efficiency.A prior image constrained compression sensing reconstruction algorithm was applied to suppress noise,reduce artifacts.A quasi-static uniaxial compression TATB-based PBX damage specimens was utilized to verify the CT scanning method and reconstruction algorithm.The FBP reconstruction results of the complete projection set,simultaneous algebra reconstruction technique(SART)and PICCS of sparse projection set were compared.The experimental results show that the reconstruction results of PICCS with 3 times sparse projection set are similar to that from the FBP reconstruction with the complete projection set,which can improve the detection efficiency by 2 times under the premise of satisfying the observation and judgment of the detected object defects and internal structure.Moreover,the reconstructed image of PICCS has fewer artifacts,smoother image and clearer details than SART reconstructed images.