| Noniterative sequential weighted least squares algorithm for positron emission tomography reconstruction. | |
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MedLine Citation:
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PMID: 18842391 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper proposes a new sequential weighted least squares (SWLS) method for positron emission tomography (PET) reconstruction. The SWLS algorithm is noniterative and can be considered as equivalent to the penalized WLS (PWLS) method under certain initial conditions. However, a full implementation of SWLS is computationally intensive. To overcome this problem, we propose a simplified SWLS as a reasonable alternative to the SWLS. The performance of this SWLS method is evaluated in experiments using both simulated and clinical data. The results show that the method can be advantageously compared with the original SWLS both in computation time and reconstruction quality. |
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Authors:
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Jian Zhou; Jean-Louis Coatrieux; Limin Luo |
Publication Detail:
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Type: Journal Article Date: 2008-10-07 |
Journal Detail:
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Title: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Volume: 32 ISSN: 1879-0771 ISO Abbreviation: Comput Med Imaging Graph Publication Date: 2008 Dec |
Date Detail:
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Created Date: 2008-11-17 Completed Date: 2009-02-26 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8806104 Medline TA: Comput Med Imaging Graph Country: United States |
Other Details:
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Languages: eng Pagination: 710-9 Citation Subset: IM |
Affiliation:
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Laboratory of Image Science and Technology, Southeast University, 210096 China. jian.zhou@univ-rennes1.fr |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Brain / radionuclide imaging Cluster Analysis Humans Image Processing, Computer-Assisted / methods* Least-Squares Analysis Numerical Analysis, Computer-Assisted* Pattern Recognition, Automated / methods Positron-Emission Tomography / methods* Systems Integration Weights and Measures Work Simplification |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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