Image reconstruction from few views by non-convex optimization

Image reconstruction for fan-beam computed tomography (CT) from projection data containing a small number of views is investigated. An iterative algorithm is developed that seeks to minimize the total p-variation of the reconstructed image subject to the constraint that the estimated projection data...

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Bibliographic Details
Published in2007 IEEE Nuclear Science Symposium Conference Record Vol. 5; pp. 3526 - 3530
Main Authors Sidky, E.Y., Chartrand, R., Xiaochuan Pan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2007
Subjects
Biomedical imaging
Computed tomography
Image quality
Image reconstruction
Iterative algorithms
Linear systems
Minimization methods
Nuclear and plasma sciences
Pixel
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ISBN1424409225
9781424409228
ISSN1082-3654
DOI10.1109/NSSMIC.2007.4436889

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Summary:Image reconstruction for fan-beam computed tomography (CT) from projection data containing a small number of views is investigated. An iterative algorithm is developed that seeks to minimize the total p-variation of the reconstructed image subject to the constraint that the estimated projection data agree with the available data to within a specified data tolerance e. A preliminary investigation on the dependence of image quality as a function of p and e is performed.
ISBN:1424409225
9781424409228
ISSN:1082-3654
DOI:10.1109/NSSMIC.2007.4436889