An interior point iterative maximum-likelihood reconstruction algorithm incorporating upper and lower bounds with application to SPECT transmission imaging

The algorithm we consider here is a block-iterative (or ordered subset) version of the inferior point algorithm for transmission reconstruction. Our algorithm is an interior point method because each vector of the iterative sequence {x/sup k/}, k= 0, 1, 2,..., satisfies the constraints a/sub j/

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2001-04, Vol.20 (4), p.342-353
Main Authors: Narayanan, M.V., Byrne, C.L., King, M.A.
Format: Article
Language:English
Subjects:
Algorithms
Attenuation
Biological and medical sciences
Computer Simulation
Computerized tomography
Constraint theory
Female
Heart - diagnostic imaging
Humans
Image Processing, Computer-Assisted - methods
Image reconstruction
Imaging phantoms
Investigative techniques, diagnostic techniques (general aspects)
Iterative algorithms
Iterative methods
Likelihood Functions
Mathematical models
Maximum likelihood estimation
Medical sciences
Miscellaneous. Technology
Phantoms, Imaging
Pixel
Radionuclide investigations
Reconstruction algorithms
Thorax - diagnostic imaging
Tomography, Emission-Computed, Single-Photon
Torso
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Description
Summary:The algorithm we consider here is a block-iterative (or ordered subset) version of the inferior point algorithm for transmission reconstruction. Our algorithm is an interior point method because each vector of the iterative sequence {x/sup k/}, k= 0, 1, 2,..., satisfies the constraints a/sub j/
ISSN:0278-0062
1558-254X
DOI:10.1109/42.921483