List-mode likelihood

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List-mode likelihood.

As photon-counting imaging systems become more complex, there is a trend toward measuring more attributes of each individual event. In various imaging systems the attributes can include several position variables, time variables, and energies. If more than about four attributes are measured for each event, it is not practical to record the data in an image matrix. Instead it is more efficient t...

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| Using a theory of list-mode Maximum Likelihood (ML) source reconstruction presented recently by Bar-rett et al. 1], this paper formulates a corresponding Expectation Maximization (EM) algorithm, as well as a method for estimating noise properties at the ML estimate. List-mode ML is of interest in cases where the dimensionality of the measurement space impedes a binning of the measurement data...

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List-Mode Maximum Likelihood Reconstruction of Compton Scatter Camera Images in Nuclear Medicine1

A Maximum Likelihood (ML) image reconstruction technique using list-mode data has been applied to Compton scattering camera imaging. List-mode methods are appealing in Compton camera image reconstruction because the total number of data elements in the list (the number of detected photons) is significantly smaller than the number of possible combinations of position and energy measurements, lea...

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3D list-mode reconstruction for SPECT

| In previous work we developed a list-mode iterative reconstruction algorithm (LMIRA) for SPECT applied to two dimensional image reconstruction. In the 2D case we calculated the emission radiance distribution on the circular enclosure of the object. This part is the forward projection. In the backprojection we sampled the radiance on the intermediate layer using the geometric properties of the...

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ژورنال

عنوان ژورنال: Journal of the Optical Society of America A

سال: 1997

ISSN: 1084-7529,1520-8532

DOI: 10.1364/josaa.14.002914