An iterative Bayes algorithm for emission tomography using a smoothed sinogram

Jun Ma

An iterative Bayes algorithm for emission tomography using a smoothed sinogram

Jun Ma^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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Abstract

In this paper we formulate a new approach to medical image reconstruction from projections in emission tomography. This approach differs from traditional methods such as filtered back projection, maximum likelihood or maximum penalized likelihood. Our method is developed directly from the Bayes formula and the final result is an iterative algorithm, for which the maximum likelihood expectation-maximization of [1] (or [2]) is a special case.

Original language	English
Title of host publication	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Place of Publication	Piscataway, N.J
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1212-1215
Number of pages	4
Volume	2006
ISBN (Print)	0780395778, 9780780395770
Publication status	Published - 2006
Event	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States Duration: 6 Apr 2006 → 9 Apr 2006

Other

Other	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Country/Territory	United States
City	Arlington, VA
Period	6/04/06 → 9/04/06

Bibliographical note

Copyright 2006 IEEE. Reprinted from IEEE International Symposium on Biomedical Imaging: Macro to Nano, 3rd, 2006. 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 Universityâ€™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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title = "An iterative Bayes algorithm for emission tomography using a smoothed sinogram",

abstract = "In this paper we formulate a new approach to medical image reconstruction from projections in emission tomography. This approach differs from traditional methods such as filtered back projection, maximum likelihood or maximum penalized likelihood. Our method is developed directly from the Bayes formula and the final result is an iterative algorithm, for which the maximum likelihood expectation-maximization of [1] (or [2]) is a special case.",

author = "Jun Ma",

note = "Copyright 2006 IEEE. Reprinted from IEEE International Symposium on Biomedical Imaging: Macro to Nano, 3rd, 2006. 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{\^a}€{\texttrademark}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.; 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro ; Conference date: 06-04-2006 Through 09-04-2006",

year = "2006",

language = "English",

isbn = "0780395778",

volume = "2006",

pages = "1212--1215",

booktitle = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Ma, J 2006, An iterative Bayes algorithm for emission tomography using a smoothed sinogram. in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. vol. 2006, 1625142, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J, pp. 1212-1215, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, United States, 6/04/06.

An iterative Bayes algorithm for emission tomography using a smoothed sinogram. / Ma, Jun.

2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Vol. 2006 Piscataway, N.J : Institute of Electrical and Electronics Engineers (IEEE), 2006. p. 1212-1215 1625142.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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Y2 - 6 April 2006 through 9 April 2006

ER -

An iterative Bayes algorithm for emission tomography using a smoothed sinogram

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