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Model-Based Image Reconstruction for Dual-Energy X-Ray CT with Fast KVP Switching

By Wonseok Huh and Jeffrey A. Fessler

Abstract

The most recent generation of X-ray CT systems can collect dual energy (DE) sinograms by rapidly switching the X-ray tube voltage between two levels for alternate projection views. This reduces motion artifacts in DE imaging, but yields sinograms that may be angularly under-sampled. This paper describes an iterative algorithm for statistical image reconstruction of material component images (e.g., soft tissue and bone) directly from such under-sampled DE data, without resorting to the interpolation operations required by conventional DE reconstruction methods

Publisher: IEEE
Year: 2009
DOI identifier: 10.1109/ISBI.2009.5193050
OAI identifier: oai:deepblue.lib.umich.edu:2027.42/85826
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