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Practical tradeoffs between noise, quantitation, and number of iterations for maximum likelihood-based reconstructions.

Practical tradeoffs between noise, quantitation, and number of iterations for maximum likelihood-based reconstructions. Research Abstract Details 

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  • Practical tradeoffs between noise, quantitation, and number of iterations for maximum likelihood-based reconstructions. Abstract Text:

    j s liowJ S Liow,s c strotherS C Strother,

    Emission computerised tomography images reconstructed using a maximum likelihood-expectation maximization (ML)-based method with different reconstruction kernels and 1-200 iterations are compared to images reconstructed using filtered backprojection (FBP). ML-based reconstructions using a single pixel (SP) kernel with or without a sieve filter show no quantitative advantage over FBP except in the background where a reduction of noise is possible if the number of iterations is kept small (<50). ML-based reconstructions using a Gaussian kernel with a multipixel full-width-at-half-maximum (FWHM) and a large number of iterations (200) require a sieve filtering step to reduce the noise and contrast overshoot in the final images. These images have some small quantitative advantages over FBP depending on the structures being imaged. It is demonstrated that a feasibility stopping criterion controls the noise in a reconstructed image, but is insensitive to quantitation errors, and that the use of an appropriate overrelaxation parameter can accelerate the convergence of the ML-based method during the iterative process without quantitative instabilities.

    Practical tradeoffs between noise, quantitation, and number of iterations for maximum likelihood-based reconstructions. Publishing Authors By Initials

    js liowJS Liow,sc strotherSC Strother,

    For similar abstracts research abstracts see: abstracts research

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    Practical tradeoffs between noise, quantitation, and number of iterations for maximum likelihood-based reconstructions. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: IEEE transactions on medical imaging

    VOLUME: 10

    Page Numbers: 563-71

    Journal Abbreviation:

    ISSN: 0278-0062

    DAY: 28

    MONTH: 01

    YEAR: 1991

    Practical tradeoffs between noise, quantitation, and number of iterations for maximum likelihood-based reconstructions. Information

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    LANGUAGE: eng

    NlmUniqueID: 8310780

    Practical tradeoffs between noise, quantitation, and number of iterations for maximum likelihood-based reconstructions. Keywords Mesh Terms:

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    Grant and Affiliation Information for Practical tradeoffs between noise, quantitation, and number of iterations for maximum likelihood-based reconstructions.

    AFFILIATION: Dept. of Radiol., Minnesota Univ., Minneapolis, MN.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: IEEE Trans Med Imaging

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