Modeling and error identification on three-dimensional tomosynthetic reconstructions

Paul F. Hemler; Richard L. Webber; Fredrick H Fahey

doi:10.1117/12.387636

6 June 2000 Modeling and error identification on three-dimensional tomosynthetic reconstructions

Paul F. Hemler, Richard L. Webber, Fredrick H Fahey

Proceedings Volume 3979, Medical Imaging 2000: Image Processing; (2000) https://doi.org/10.1117/12.387636
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

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.

Citation Download Citation

Paul F. Hemler, Richard L. Webber, and Fredrick H Fahey "Modeling and error identification on three-dimensional tomosynthetic reconstructions", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); https://doi.org/10.1117/12.387636

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