Alternating minimization algorithms for transmission tomography using energy detectors

Expectation-minimization algorithms for transmission tomography are extended to account for detectors that are modeled as integrating the energy of the incident X-ray photons. The resulting algorithm is guaranteed to monotonically increase the log likelihood functional. Both the expectation step and...

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Bibliographic Details
Published in:Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002 Vol. 1; pp. 144 - 147 vol.1
Main Authors: O'Sullivan, J.A., Snyder, D.L., Whiting, B.R.
Format: Conference Proceeding
Language:English
Published: IEEE 2002
Subjects:
Data models
Extraterrestrial measurements
Image reconstruction
Minimization methods
Physics
Radiology
Single photon emission computed tomography
X-ray detection
X-ray detectors
X-ray imaging
ISBN:0780375769, 9780780375765
ISSN:1058-6393
Online Access:Get full text
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Summary:Expectation-minimization algorithms for transmission tomography are extended to account for detectors that are modeled as integrating the energy of the incident X-ray photons. The resulting algorithm is guaranteed to monotonically increase the log likelihood functional. Both the expectation step and the maximization step are given in closed form. The formulation is general enough that it can be extended to other energy-dependent models for the detectors.
ISBN:0780375769
9780780375765
ISSN:1058-6393
DOI:10.1109/ACSSC.2002.1197165