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Relaxation Factor Optimization for Common Iterative Algorithms in Optical Computed Tomography
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Optical computed tomography technique has been widely used in pathological diagnosis and clinical medicine.
For most of optical computed tomography algorithms, the relaxation factor plays a very important role in the quality of the reconstruction image.
In this paper, the optimal relaxation factors of the ART, MART, and SART algorithms for bimodal asymmetrical and three-peak asymmetrical tested images are analyzed and discussed.
Furthermore, the reconstructions with Gaussian noise are also considered to evaluate the antinoise ability of the above three algorithms.
The numerical simulation results show that the reconstruction errors and the optimal relaxation factors are greatly influenced by the Gaussian noise.
This research will provide a good theoretical foundation and reference value for pathological diagnosis, especially for ophthalmic, dental, breast, cardiovascular, and gastrointestinal diseases.
American Psychological Association (APA)
Jiang, Wenbo& Zhang, Xiaohua. 2017. Relaxation Factor Optimization for Common Iterative Algorithms in Optical Computed Tomography. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1190517
Modern Language Association (MLA)
Jiang, Wenbo& Zhang, Xiaohua. Relaxation Factor Optimization for Common Iterative Algorithms in Optical Computed Tomography. Mathematical Problems in Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1190517
American Medical Association (AMA)
Jiang, Wenbo& Zhang, Xiaohua. Relaxation Factor Optimization for Common Iterative Algorithms in Optical Computed Tomography. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1190517
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190517