Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/118193
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- Title
- Iterative region of interest reconstruction in emission tomography
- Related
- IEEE International Symposium on Biomedical Imaging (7th : 2010) (14 - 17 April 2010 : Rotterdam)
- Related
- 2010 7th IEEE International Symposium on Biomedical Imaging : from nano to macro : proceedings : April 14-17, 2010, Congress Center "De Doelen", Rotterdam, the Netherlands, p.604-607
- DOI
- 10.1109/ISBI.2010.5490106
- Publisher
- Piscataway, N.J : IEEE
- Date
- 2010
- FoR/RFCD Code(s)
-
080600 Information Systems
- Author/Creator
- Ma, Jun
- Description
- This paper proposes a new method for region of interest reconstruction in emission tomography assuming projections from the entire field of view (FOV) are available. Unlike some other region of interest evaluation approaches where the system matrix is reformulated simply by summations over columns corresponding to pixels outside the region of interest, our approach reformulates the system matrix using the Bayes probability formula. The simulation study reveals that our method outperforms the traditional approaches judged by reconstruction quality.
- Description
- 4 page(s)
- Subject Keyword
- 080600 Information Systems
- Subject Keyword
- Bayes probabilities
- Subject Keyword
- maximum penalized likelihood
- Subject Keyword
- region of interest reconstruction
- Subject Keyword
- system matrix formulation
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Statistics
- Identifier
- http://hdl.handle.net/1959.14/118193
- Identifier
- ISBN:9781424441266
- Identifier
- mq-rm-2010001554
- Language
- eng
- Rights
- Copyright 2010 IEEE. Reprinted from 2010 7th IEEE International Symposium on Biomedical Imaging : from nano to macro : proceedings : April 14-17, 2010, Congress Center "De Doelen", Rotterdam, the Netherlands. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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