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Proceedings Paper

Modeling and error identification on three-dimensional tomosynthetic reconstructions
Author(s): Paul F. Hemler; Richard L. Webber; Fredrick H Fahey
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Paper Abstract

The advent of large (40 cm X 40 cm) flat panel x-ray detection devices has ushered in a new era of synthetically generating tomographic image sets for many diagnostic applications. Tomosynthetic image sets correspond to focal planes passing through an imaged object and are commonly generated by algebraically reconstructing (backprojecting) a set of two-dimensional (2D) projections. Tomosynthetic image sets typically contain a significant amount of cross-sectional blur. This paper describes a system for modeling the tomosynthesis process and proposes a methodology for quantitatively and qualitatively evaluating erroneous intensity values in reconstructed three-dimensional (3D) tomosynthetic image sets.

Paper Details

Date Published: 6 June 2000
PDF: 8 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387636
Show Author Affiliations
Paul F. Hemler, Wake Forest Univ. School of Medicine (United States)
Richard L. Webber, Wake Forest Univ. School of Medicine (United States)
Fredrick H Fahey, Wake Forest Univ. School of Medicine (United States)

Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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