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Proceedings Paper

Multi-source inverse geometry CT: a new system concept for x-ray computed tomography
Author(s): Bruno De Man; Samit Basu; Dirk Bequé; Bernhard Claus; Peter Edic; Maria Iatrou; James LeBlanc; Bob Senzig; Richard Thompson; Mark Vermilyea; Colin Wilson; Zhye Yin; Norbert Pelc
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Paper Abstract

Third-generation CT architectures are approaching fundamental limits. Spatial resolution is limited by the focal spot size and the detector cell size. Temporal resolution is limited by mechanical constraints on gantry rotation speed, and alternative geometries such as electron-beam CT and two-tube-two-detector CT come with severe tradeoffs in terms of image quality, dose-efficiency and complexity. Image noise is fundamentally linked to patient dose, and dose-efficiency is limited by finite detector efficiency and by limited spatio-temporal control over the X-ray flux. Finally, volumetric coverage is limited by detector size, scattered radiation, conebeam artifacts, Heel effect, and helical over-scan. We propose a new concept, multi-source inverse geometry CT, which allows CT to break through several of the above limitations. The proposed architecture has several advantages compared to third-generation CT: the detector is small and can have a high detection efficiency, the optical spot size is more consistent throughout the field-of-view, scatter is minimized even when eliminating the anti-scatter grid, the X-ray flux from each source can be modulated independently to achieve an optimal noise-dose tradeoff, and the geometry offers unlimited coverage without cone-beam artifacts. In this work we demonstrate the advantages of multi-source inverse geometry CT using computer simulations.

Paper Details

Date Published: 13 March 2007
PDF: 8 pages
Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 65100H (13 March 2007); doi: 10.1117/12.712854
Show Author Affiliations
Bruno De Man, GE Global Research (United States)
Samit Basu, GE Global Research (United States)
Dirk Bequé, GE Global Research (United States)
Bernhard Claus, GE Global Research (United States)
Peter Edic, GE Global Research (United States)
Maria Iatrou, GE Global Research (United States)
James LeBlanc, GE Global Research (United States)
Bob Senzig, GE Healthcare (United States)
Richard Thompson, GE Global Research (United States)
Mark Vermilyea, GE Global Research (United States)
Colin Wilson, GE Global Research (United States)
Zhye Yin, GE Global Research (United States)
Norbert Pelc, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 6510:
Medical Imaging 2007: Physics of Medical Imaging
Jiang Hsieh; Michael J. Flynn, Editor(s)

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