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Algebraic PET image reconstruction with pre-computed reconstruction operators using subsets of sensitivity functions
- Source :
- IEEE Transactions on Nuclear Science. 47:1670-1675
- Publication Year :
- 2000
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2000.
-
Abstract
- Algebraic reconstruction methods have been successfully used to improve quality of positron emission tomography (PET) images by accurate modeling of measurement system, but they have computational burden. The authors propose a fast PET image reconstruction method based on an algebraic technique. In this method, reconstruction operators are pre-computed approximately using subsets of sensitivity functions. The subsets contain the sensitivity functions that contribute significantly to each point to be reconstructed. The proposed method was applied to simulated data and experimental data for the ECAT EXACT HR+ (Siemens/CTI) scanner operating in 2D mode. These results show that the proposed method produces images with almost the same quality as the conventional algebraic methods do and has a similar computation time to the filtered backprojection method.
- Subjects :
- Nuclear and High Energy Physics
Algebraic Reconstruction Technique
medicine.medical_specialty
Scanner
Pixel
Computer science
Computation
Physics::Medical Physics
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Iterative reconstruction
Nuclear Energy and Engineering
medicine
Point (geometry)
Medical physics
Sensitivity (control systems)
Electrical and Electronic Engineering
Algebraic number
Algorithm
Subjects
Details
- ISSN :
- 15581578 and 00189499
- Volume :
- 47
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Nuclear Science
- Accession number :
- edsair.doi.dedup.....42226beda71c99d853abf2571063a72a