Hybrid domain-iterative algorithms for computed tomography reconstruction
Domain-iterative algorithms-which iterate between projection, Radon, Fourier, and spatial domains for extrapolation of projections-have been shown to give improved limited-data computed tomography reconstructions. These methods generally have one or more interpolation steps in the iterations that degrade the image resolution at the same time that they attempt to improve the extrapolation. Therefore, it is important to converge quickly to reduce both the computation time and the number of interpolation steps. We describe a class of hybrid domain-iterative algorithms for 2D image reconstruction. A particular algorithm, called the consistent iterative reconstruction-reprojection (CIRR) algorithm, was designed and implemented along with other classical domain-iterative methods. The algorithms are tested the hollow projections problem, where simple object models are assumed known. Results show that the CIRR algorithm is robust, accurate, and converges quickly.
- Research Organization:
- Lawrence Livermore National Lab., CA (United States)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 6851469
- Report Number(s):
- UCRL-JC-110437; CONF-921005-31; ON: DE93011880
- Resource Relation:
- Conference: Institute of Electrical and Electronic Engineers (IEEE) nuclear science symposium and medical imaging conference, Orlando, FL (United States), 26-31 Oct 1992
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
COMPUTERIZED TOMOGRAPHY
ITERATIVE METHODS
ALGORITHMS
EXTRAPOLATION
CALCULATION METHODS
DIAGNOSTIC TECHNIQUES
MATHEMATICAL LOGIC
NUMERICAL SOLUTION
TOMOGRAPHY
440100* - Radiation Instrumentation
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