Current position: Home >> Scientific Research >> Paper Publications

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

Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2012-03-01

Journal: Guangxue Xuebao/Acta Optica Sinica

Included Journals: Scopus、ISTIC、PKU、EI

Volume: 32

Issue: 3

ISSN: 02532239

Abstract: 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.

Prev One:A Novel Algorithm on Price Tag Number Recognition

Next One:Efficient stereo matching by local linear filtering and improved dynamic programming