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Data analysis / Algebra of random variables / Covariance / Expectation–maximization algorithm / Positron emission tomography / Maximum likelihood / Minimum mean square error / 3D modeling / Statistics / Estimation theory / Covariance and correlation


MAP Reconstruction from Spatially Correlated PET Data Adam Alessio, Ken Sauer, and Charles A. Bouman Abstract— High sensitivity 3D PET data is often rebinned into 2D data sets in order to reduce the computation time of
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Document Date: 2005-11-10 13:24:09


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City

Poisson / San Diego / /

Currency

pence / /

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Facility

University of Notre Dame / laboratory PET / Indiana University / We store / Purdue University / /

IndustryTerm

approximate rebinning algorithms / printing / dimensional reconstruction algorithms / 3D algorithms / energy / /

Organization

21st Century Research and Technology Fund / University of Notre Dame / Indiana University / School of Electrical Engineering / Department of Electrical Engineering / Purdue University / /

Person

M. Sibomana / M. Krzywinski / V / D.F. Newport / Adam Alessio / P. Kinahan / Gary Hutchins / Ned Rouze / M. Defrise / X. Liu / P.E. Kinahan / Ken Sauer / D. Townsend / D.W. Townsend / C. Michel / C. Comtat / /

Position

generalized Gaussian image model for edge-preserving map estimation / /

ProgrammingLanguage

E / K / /

ProvinceOrState

Indiana / California / /

Technology

RAM / SAGE algorithms / 3-D / tomography / two dimensional reconstruction algorithms / 3D algorithms / proposed MAP-D algorithm / Image Processing / EM algorithms / approximate rebinning algorithms / Medical Imaging / /

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