L 1-norm-based differential phase-contrast computerized tomography reconstruction algorithm with sparse angular resolution

被引：0
|
作者：
Li J. [1 ]
Sun Y. [1 ]
机构：
[1] School of Information and Communication Engineering, Dalian University of Technology, Dalian
来源：
Guangxue Xuebao/Acta Optica Sinica | 2012年 / 32卷 / 03期
关键词：
Compressive sensing; Differential phase-contrast computerized tomography; Image reconstruction; Imaging systems; L [!sub]1[!/sub] norm;
D O I：
10.3788/AOS201232.0311002
中图分类号：
学科分类号：
摘要：
Differential phase contrast computerized tomography (DPC-CT) is a novel X-ray inspection method. However, DPC-CT usually requires several sampling attempts, which will inevitablly introduce unacceptabe long exposure time and huge X-ray doses. Sparse angular algorithms show significant advantage in reducing the exposure time and X-ray doses. Thus, the study of sparse angular DPC-CT is particularly important. After analyzing the characteristics of the DPC-CT, we introduce the compressive sensing theory into the DPC-CT reconstruction and propose a reconstruction algorithm for DPC-CT named as ART-L 1 algorithm which fuse the L 1 constraint into the ART algorithm. The numerical simulation and experimental results show that the ART-L 1 algorithm can significantly improve the image quality of the sparse angular DPC-CT reconstructions.
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