Share Email Print

Optical Engineering

Limited-angle optical computed tomography algorithms
Author(s): Xiong Wan; Yiqing Gao; Qing Wang; Shuping Le; Shenglin Yu
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Optical computed tomography (OCT) is often used for measuring thermophysical parameters. Unfortunately, viewing access in many tomographic experiments, such as in plasma physics, is extremely limited, which leads to a highly undetermined inversion problem. Four major approaches to this problem are compared: a novel algorithm based on maximum entropy (ME), and three traditional algorithms, namely the simultaneous iterative reconstruction technique (SIRT), algebraic reconstruction technique (ART), and multiplicative algebraic reconstruction technique (MART). A novel basis function was adopted to improve the performance of SIRT, ART, and MART. These algorithms were used to reconstruct phantom data with realistic levels of noise from a number of different imaging geometries. The phantoms, the imaging geometries, and the noise were chosen to simulate conditions encountered in typical OCT measurement. In most cases, the ME and MART algorithms give better reconstruction results than the other two algorithms for the situations studied here.

Paper Details

Date Published: 1 September 2003
PDF: 11 pages
Opt. Eng. 42(9) doi: 10.1117/1.1595104
Published in: Optical Engineering Volume 42, Issue 9
Show Author Affiliations
Xiong Wan, Nanchang Institute of Aeronautical Technology (China)
Yiqing Gao, Nanchang Institute of Aeronautical Technology (China)
Qing Wang, Nanchang Institute of Aeronautical Technology (China)
Shuping Le, Nanchang Institute of Aeronautical Technology (China)
Shenglin Yu, Nanchang Institute of Aeronautical Technology (China)

© SPIE. Terms of Use
Back to Top