Contour reconstruction in 3-D X-ray CT

The authors derives an algorithm for reconstructing contours of an object from 3D cone beam X-ray data. By reducing the amount of the searched-for information, contours, or density jumps instead of the densities themselves, the authors are able to develop fast algorithms for data incomplete with res...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 1993-12, Vol.12 (4), p.764-769
Main Authors: Louis, A.K., Maass, P.
Format: Article
Language:English
Subjects:
550602 - Medicine- External Radiation in Diagnostics- (1980-)
ACCURACY
ALGORITHMS
Bayesian methods
Biological and medical sciences
Computed tomography
COMPUTERIZED TOMOGRAPHY
DIAGNOSTIC TECHNIQUES
Equations
IMAGE PROCESSING
Image reconstruction
Investigative techniques, diagnostic techniques (general aspects)
MATHEMATICAL LOGIC
Medical sciences
Medical services
Miscellaneous. Technology
Numerical simulation
OPTIMIZATION
PROCESSING
Radiodiagnosis. Nmr imagery. Nmr spectrometry
RADIOLOGY AND NUCLEAR MEDICINE
Three dimensional displays
TOMOGRAPHY
X-ray detection
X-ray detectors
X-ray imaging
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Summary:The authors derives an algorithm for reconstructing contours of an object from 3D cone beam X-ray data. By reducing the amount of the searched-for information, contours, or density jumps instead of the densities themselves, the authors are able to develop fast algorithms for data incomplete with respect to both the movement of the X-ray source and the detector reading. The method is related to local or Lambda tomography. Numerical simulations show the efficiency of the algorithm.< >
ISSN:0278-0062
1558-254X
DOI:10.1109/42.251129