Paper
11 April 1996 Novel techniques for image computation and a concomitant reduction of the x-ray dose in transmission tomography
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander I. Katsevich "Novel techniques for image computation and a concomitant reduction of the x-ray dose in transmission tomography", Proc. SPIE 2708, Medical Imaging 1996: Physics of Medical Imaging, (11 April 1996); https://doi.org/10.1117/12.237802
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Tomography

Signal attenuation

X-rays

Radon transform

Algorithm development

Reconstruction algorithms

X-ray imaging

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