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Proceedings Paper

Novel techniques for image computation and a concomitant reduction of the x-ray dose in transmission tomography
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Paper Abstract

Conventional tomographic imaging techniques are nonlocal: to reconstruct an unknown function f at a point x, one needs to know its radon transform (RT) f((theta) ,p) for all ((theta) ,p). Suppose that one is interested in the recovery of f only for x in some set U. We call U the region of interest (ROI). Define the local data as the integrals of f along the lines that intersect the ROI. We propose algorithms for finding locations and values of jumps (sharp variations) of f from only the local data. In case of transmission tomography, this results in a reduction of the x-ray dose to a patient. The proposed algorithms can also be used in emission tomographies. They allow one: to image jumps of f with better resolution than conventional techniques; to take into account variable attenuation (if it is known); and to obtain meaningful images even if the attenuation is not known. Results of testing the proposed algorithms on the simulated and real data are presented.

Paper Details

Date Published: 11 April 1996
PDF: 12 pages
Proc. SPIE 2708, Medical Imaging 1996: Physics of Medical Imaging, (11 April 1996); doi: 10.1117/12.237802
Show Author Affiliations
Alexander I. Katsevich, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 2708:
Medical Imaging 1996: Physics of Medical Imaging
Richard L. Van Metter; Jacob Beutel, Editor(s)

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