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

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Conventional tomographic imaging techniques are nonlocal: to reconstruct an unknown function f at a point x, one needs to know its Radon transform (RT) {cflx f} ({theta},p). Suppose that one is interested in the recovery of f only for x in some set U. The author calls U the region of interest (ROI). Define the local data as the integrals of f along the lines that intersect the ROI. He proposes 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 ... continued below

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13 p.

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Katsevich, A. I. April 1996.

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Description

Conventional tomographic imaging techniques are nonlocal: to reconstruct an unknown function f at a point x, one needs to know its Radon transform (RT) {cflx f} ({theta},p). Suppose that one is interested in the recovery of f only for x in some set U. The author calls U the region of interest (ROI). Define the local data as the integrals of f along the lines that intersect the ROI. He proposes 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.

Physical Description

13 p.

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INIS; OSTI as DE96008151

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  • Society of Photo-Optical Instrumentation Engineers (SPIE) conference on medical imaging, Newport Beach, CA (United States), 10-15 Feb 1996

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  • Other: DE96008151
  • Report No.: LA-UR--96-0214
  • Report No.: CONF-960219--2
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 219331
  • Archival Resource Key: ark:/67531/metadc670435

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  • April 1996

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  • June 29, 2015, 9:42 p.m.

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  • Feb. 29, 2016, 6:31 p.m.

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Katsevich, A. I. Novel techniques for image computation and a concomitant reduction of the x-ray dose in transmission tomography, article, April 1996; New Mexico. (digital.library.unt.edu/ark:/67531/metadc670435/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.