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Proceedings Paper

Medical Image Scatter Suppression By Inverse Filtering
Author(s): J. A. Seibert; J. M. Boone
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Paper Abstract

Scatter radiation degrades image contrast as well as quantitative relationships in transmission x-radiography, especially with broad area detectors. Use of an anti-scatter grid and/or air gap eliminates much of the detected scatter radiation, but at the expense of attenuated primary radiation and geometric unsharpness. An alternate method is investigated that can more closely approximate the desired "primary" image either in conjunction with or in absence of the abovementioned techniques. The characterization and parameterization of a scatter point spread function (PSF) for a given imaging geometry (object thickness, field size, focus-object-detector distances) and radiographic technique (photon energy, grid/no grid) allows the removal of the scattered components by deconvolution using inverse filter post-processing methods. Assumptions of a stationary and spatially invariant PSF are made to enable the use of an efficient two-dimensional Fourier transform inverse filtering scheme. In spite of the inherent non-linear attributes of the scattering and image detection processes, a first order linear approximation using a Gaussian form to model the scatter PSF provides a numerically invertable filter kernel that removes scatter and improves image contrast as well as quantitative accuracy.

Paper Details

Date Published: 27 June 1988
PDF: 9 pages
Proc. SPIE 0914, Medical Imaging II, (27 June 1988); doi: 10.1117/12.968708
Show Author Affiliations
J. A. Seibert, University of California (United States)
J. M. Boone, Thomas Jefferson University (United States)

Published in SPIE Proceedings Vol. 0914:
Medical Imaging II
Samuel J. Dwyer; Roger H. Schneider; Samuel J. Dwyer; Roger H. Schneider; Roger H. Schneider; Samuel J. Dwyer, Editor(s)

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