Block-iterative fisher scoring for emission tomography

Ma Jun*, Malcolm Hudson

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

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    Abstract

    We introduce and evaluate a block-iterative Fisher scoring (BFS) algorithm for emission tomography. Regularization is achieved by penalized likelihood with a general quadratic penalty. When the algorithm converges, it converges to the unconstrained maximum penalized likelihood (MPL) solution. In a simulated data set, constrained BFS achieves a higher penalized likelihood in fewer iterations than other block-iterative algorithms which are designed for non-negatively constrained penalized reconstruction.

    Original languageEnglish
    Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
    EditorsMiles Wernick
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages153-156
    Number of pages4
    ISBN (Print)1424406722, 9781424406722
    DOIs
    Publication statusPublished - 2007
    Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
    Duration: 12 Apr 200715 Apr 2007

    Other

    Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
    CountryUnited States
    CityArlington, VA
    Period12/04/0715/04/07

    Bibliographical note

    Copyright 2007 IEEE. Reprinted from Proceedings of the 4th IEEE International Symposium on Biomedical Imaging : From Nano to Macro. 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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