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

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dc.contributor.authorRyan, Andrewen_US
dc.contributor.authorMora, B.en_US
dc.contributor.editorRita Borgo and Wen Tangen_US
dc.date.accessioned2014-12-15T15:53:07Z
dc.date.available2014-12-15T15:53:07Z
dc.date.issued2014en_US
dc.description.abstractExpectation 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.en_US
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)en_US
dc.identifier.isbn978-3-905674-70-5en_US
dc.identifier.urihttps://doi.org/10.2312/cgvc.20141201en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.5 [IMAGE PROCESSING AND COMPUTER VISION]en_US
dc.subjectReconstructionen_US
dc.subjectTransform Methodsen_US
dc.titleVariations on Image Reconstruction:Weighted Back Projection and Fourier Expectation Maximizationen_US
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