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    Variations on Image Reconstruction:Weighted Back Projection and Fourier Expectation Maximization

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    Date
    2014
    Author
    Ryan, Andrew
    Mora, B.
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    Abstract
    Expectation Maximization and Filtered Back Projection are two common techniques for Tomographic reconstruction of images and volumes. While papers often demonstrat that EM produces higher quality reconstructions, particularly from lower numbers of projections, FBP remains popular due to its low computational complexity. In the following work we present and analyse a modified Expectation Maximization approach which takes advantage of the Fourier Slice Theorem to reduce the bottleneck of forward and back projection. We also investigate Weighted Back Projection, a variation of Filtered Back Projection which uses a weighted average approach to avoid the use of arbitrarily chosen filters.
    BibTeX
    @inproceedings {10.2312:cgvc.20141201,
    booktitle = {Computer Graphics and Visual Computing (CGVC)},
    editor = {Rita Borgo and Wen Tang},
    title = {{Variations on Image Reconstruction:Weighted Back Projection and Fourier Expectation Maximization}},
    author = {Ryan, Andrew and Mora, B.},
    year = {2014},
    publisher = {The Eurographics Association},
    ISBN = {978-3-905674-70-5},
    DOI = {10.2312/cgvc.20141201}
    }
    URI
    http://dx.doi.org/10.2312/cgvc.20141201
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    • Computer Graphics & Visual Computing (CGVC) 2014

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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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