Open AccessA modified equally sloped algorithm based on the total variation algorithm in computed tomography for insufficient data
Author(s) -
Wang Lei,
Guan Yong,
Liang Zhiting,
Guo Liang,
Wei Chenxi,
Luo Ronghui,
Liu Gang,
Tian Yangchao
Publication year - 2017
Publication title -
journal of synchrotron radiation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 99
ISSN - 1600-5775
DOI - 10.1107/s160057751700100x
Subject(s) - algorithm , tomography , sample (material) , rotation (mathematics) , computer science , iterative reconstruction , reconstruction algorithm , energy (signal processing) , computed tomography , image quality , variation (astronomy) , mathematics , image (mathematics) , computer vision , optics , physics , radiology , statistics , medicine , astrophysics , thermodynamics
Computed tomography (CT) has become an important technique for analyzing the inner structures of material, biological and energy fields. However, there are often challenges in the practical application of CT due to insufficient data. For example, the maximum rotation angle of the sample stage is limited by sample space or image reconstruction from the limited number of views required to reduce the X‐ray dose delivered to the sample. Therefore, it is difficult to acquire CT images with complete data. In this work, an iterative reconstruction algorithm based on the minimization of the image total variation (TV) has been utilized to develop equally sloped tomography (EST), and the reconstruction was carried out from limited‐angle, few‐view and noisy data. A synchrotron CT experiment on hydroxyapatite was also carried out to demonstrate the ability of the TV‐EST algorithm. The results indicated that the new TV‐EST algorithm was capable of achieving high‐quality reconstructions from projections with insufficient data.