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Proceedings Paper

Cone-beam CT data-driven pose correction for analytic reconstruction methods
Author(s): Joshua Cates; Yongsheng Pan; Vianney Battle; Ross Whitaker
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Paper Abstract

A precise knowledge of the geometry information of a cone-beam CT is required for high quality image reconstruction. In some applications, however, the acquisition geometry is either not well characterized or not repeatable, for example, in the case of gantry vibration and patient motion. An offline correction using a calibration pattern and an online calibration using an external tracking system may be used to measure and correct CT geometry parameters during reconstruction. Both approaches have limitations though. A new method is proposed in this paper to estimate pose parameters using the acquired cone-beam projection data only. During the pose estimation process each 2D projection data is registered to the 3D volume reconstructed from the current, inaccurate pose estimate. Pose parameters are then corrected incrementally using the registration results. Applying this 2D-3D registration method to the FDK reconstruction method, we are able to estimate rotational parameters to within an average total angular deviation of 0.5 degrees, and center-of-rotation to an average of 0.02% of the source-to-detector distance (SID) in the detector plane. The image quality of CT reconstructions is comparable to those using exact geometry.

Paper Details

Date Published: 16 March 2011
PDF: 6 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 796139 (16 March 2011); doi: 10.1117/12.877580
Show Author Affiliations
Joshua Cates, The Univ. of Utah (United States)
Yongsheng Pan, Argonne National Lab. (United States)
Vianney Battle, GE Healthcare (United States)
Ross Whitaker, The Univ. of Utah (United States)

Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)

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