Results 1 - 10 of 497

A generalized Gaussian image model for edge-preserving MAP estimation

by Charles Bouman, Ken Sauer - IEEE Trans. on Image Processing , 1993
"... Absfrucf- We present a Markov random field model which allows realistic edge modeling while providing stable maximum a posteriori MAP solutions. The proposed model, which we refer to as a generalized Gaussian Markov random field (GGMRF), is named for its similarity to the generalized Gaussian distri ..."
Abstract - Cited by 301 (37 self) - Add to MetaCart
at the unique global mini-mum of the U posteriori log-likeihood function. The GGMRF is demonstrated to be useful for image reconstruction in low-dosage transmission tomography. I.

Monotonic Algorithms for Transmission Tomography

by Jeffrey A. Fessler - IEEE Tr. Med. Im , 1999
"... Abstract — We present a framework for designing fast and monotonic algorithms for transmission tomography penalized-likelihood image reconstruction. The new algorithms are based on paraboloidal surrogate functions for the log-likelihood. Due to the form of the log-likelihood function, it is possible ..."
Abstract - Cited by 91 (40 self) - Add to MetaCart
Abstract — We present a framework for designing fast and monotonic algorithms for transmission tomography penalized-likelihood image reconstruction. The new algorithms are based on paraboloidal surrogate functions for the log-likelihood. Due to the form of the log-likelihood function

Ordered subsets algorithms for transmission tomography,” Phys

by Gene Gualtieri, Jeffrey A. Fessler - Med. Biol , 1999
"... The ordered subsets EM (OSEM) algorithm has enjoyed considerable interest for emission image reconstruction due to its acceleration of the original EM algorithm and ease of programming. The transmission EM reconstruction algorithm converges very slowly and is not used in practice, particularly becau ..."
Abstract - Cited by 90 (37 self) - Add to MetaCart
to the new algorithm to accelerate “convergence” for the transmission tomography problem, albeit with similar sacrifice of global convergence properties as OSEM. We implemented and evaluated this ordered subsets transmission (OSTR) algorithm. The results indicate that the OSTR algorithm speeds up

A unified approach to statistical tomography using coordinate descent optimization

by Charles A. Bouman, Ken Sauer - IEEE Trans. on Image Processing , 1996
"... Abstract 1 Over the past ten years there has been considerable interest in statistically optimal reconstruction of image cross-sections from tomographic data. In particular, a variety of such algorithms have been proposed for maximum a posteriori (MAP) reconstruction from emission tomographic data. ..."
Abstract - Cited by 140 (27 self) - Add to MetaCart
much more rapidly (in our experiments typically 5 iterations). Other advantages of the ICD method are that it is easily applied to MAP estimation of transmission tomograms, and typical convex constraints, such as positivity, are simply incorporated.

tomography

by Umesh Kumar, G S Ramakrishna, S S Datta , 2001
"... An experimental method for ripple minimization in transmission data for industrial X-ray computed ..."
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An experimental method for ripple minimization in transmission data for industrial X-ray computed

Transmission Eigenvalues and Thermoacoustic Tomography

by David Finch, Kyle S. Hickmann , 2014
"... The spectrum of the interior transmission problem is related to the unique determination of the acoustic properties of a body in thermoacoustic imaging. Under a non-trapping hypothesis, we show that sparsity of the interior trans-mission spectrum implies a range separation condition for the thermoac ..."
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The spectrum of the interior transmission problem is related to the unique determination of the acoustic properties of a body in thermoacoustic imaging. Under a non-trapping hypothesis, we show that sparsity of the interior trans-mission spectrum implies a range separation condition

Teleseismic Transmission and Reflection Tomography

by Scott A. Burdick, Robert D. Van Der Hilst, Robert D. Van Der Hilst, Scott A. Burdick , 2014
"... The aim of seismic tomography is to determine a model of Earth properties that best ex-plain observed seismic data. In practice, the limitations placed on our observations and computational capabilities force us to make a number of decisions about the scales and parameterizations of models, the natu ..."
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The aim of seismic tomography is to determine a model of Earth properties that best ex-plain observed seismic data. In practice, the limitations placed on our observations and computational capabilities force us to make a number of decisions about the scales and parameterizations of models

3D Chemical Mapping of PEM Fuel Cell Cathodes by Scanning Transmission Soft X-ray SpectroTomography

by Viatcheslav Berejnov, Darija Susac, Jürgen Stumper, Adam P. Hitchcock - ECS Transactions , 2013
"... tomography. ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
tomography.

search for transmission tomography

by Ryan J. Murphy, Joseph A. O’sullivan, Donald L. Snyder
"... information-theoretic imaging approach to pose ..."
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information-theoretic imaging approach to pose

Alternating minimization algorithms for transmission tomography

by Joseph A. O’sullivan, Jasenka Benac - IEEE Trans. Med. Imag , 2001
"... A family of alternating minimization algorithms for finding maximum likelihood estimates of attenuation functions in transmission x-ray tomography is described. The model from which the algorithms are derived includes polyenergetic photon spectra, background events, and nonideal point spread functio ..."
Abstract - Cited by 12 (2 self) - Add to MetaCart
A family of alternating minimization algorithms for finding maximum likelihood estimates of attenuation functions in transmission x-ray tomography is described. The model from which the algorithms are derived includes polyenergetic photon spectra, background events, and nonideal point spread
Results 1 - 10 of 497