孙怡
Personal Homepage
Paper Publications
Noise-robust Mojette reconstruction using sparse-view CT projections
Hits:

Indexed by:Journal Papers

First Author:Jiang Min

Co-author:Qu Zhiping,Sun Yi

Date of Publication:2018-12-07

Journal:Journal of X-ray science and technology

Included Journals:PubMed

ISSN No.:1095-9114

Key Words:Mojette transform,Radon transform,close-to-minimal iterations,counteracting-noise,different sets of projection combinations

Abstract:Sparse-view Computed Tomography (CT) has important significance in industrial inspection and medical diagnosis. Mojette transform is a kind of discrete Radon transform that can yield exact reconstructions instead of an approximate solution due to finite Radon sampling. However, the image is iteratively reconstructed pixel by pixel from corner to center, and the image error is proportional to the number of iterations. In this paper, we propose that there exist different sets of projection combinations to recover the original image within the close-to-minimal iterations. And a scheme is given to obtain multiple projection sets, each of which has the same number of minimum iterations and can recover a CT image with a similar level of small noise but different distributions. These images can be used further to restore the final CT image by counteracting noise with each other. The accuracy and validity of the proposed algorithm are verified by comparison with both other Mojette inversion algorithms and the classical SART algorithm.

Personal information

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Female

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:信息与通信工程学院

Business Address:海山楼A420

Contact Information:lslwf@dlut.edu.cn

Click:

Open time:..

The Last Update Time:..


Address: No.2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, P.R.C., 116024

MOBILE Version