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Proceedings Paper

Region-Of-Interest X-Ray Tomography (ROIT)
Author(s): O. Nalcioglu; P. V. Sankar; J. Sklansky
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Paper Abstract

Region-of-interest tomography (ROIT) reconstructs a convex region within an object on a specified sampling grid with relatively small dose and higher resolution. In this paper, we introduce a new algorithm for ROIT. This algorithm is based on a variable sampling scheme in which the external region is sampled coarsely whereas a finer sampling is used for the region of interest. After the data is collected, the coarsely sampled data is interpolated at the sampling interval as the finely sampled data. The interpolated coarsely sampled data and the finely sampled data are assimilated and entered into a reconstruction of the ROI. We have obtained encouraging results in experimental computer simulations of our technique. These results are summarized in this paper.

Paper Details

Date Published: 26 December 1979
PDF: 5 pages
Proc. SPIE 0206, Recent and Future Developments in Medical Imaging II, (26 December 1979); doi: 10.1117/12.958198
Show Author Affiliations
O. Nalcioglu, University of California (United States)
P. V. Sankar, University of California (United States)
J. Sklansky, University of California (United States)

Published in SPIE Proceedings Vol. 0206:
Recent and Future Developments in Medical Imaging II
David G. Brown; Stephen W. Smith, Editor(s)

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