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20 March 2017 Single-view geometric calibration for C-arm inverse geometry CT
Jordan M. Slagowski, David A. P. Dunkerley, Charles R. Hatt, Michael A. Speidel
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Journal of Medical Imaging, Vol. 4, Issue 1, 013506 (March 2017). https://doi.org/10.1117/1.JMI.4.1.013506
Abstract
Accurate and artifact-free reconstruction of tomographic images requires precise knowledge of the imaging system geometry. A projection matrix-based calibration method to enable C-arm inverse geometry CT (IGCT) is proposed. The method is evaluated for scanning-beam digital x-ray (SBDX), a C-arm mounted inverse geometry fluoroscopic technology. A helical configuration of fiducials is imaged at each gantry angle in a rotational acquisition. For each gantry angle, digital tomosynthesis is performed at multiple planes and a composite image analogous to a cone-beam projection is generated from the plane stack. The geometry of the C-arm, source array, and detector array is determined at each angle by constructing a parameterized three-dimensional-to-two-dimensional projection matrix that minimizes the sum-of-squared deviations between measured and projected fiducial coordinates. Simulations were used to evaluate calibration performance with translations and rotations of the source and detector. The relative root-mean-square error in a reconstruction of a numerical thorax phantom was 0.4% using the calibration method versus 7.7% without calibration. In phantom studies, reconstruction of SBDX projections using the proposed method eliminated artifacts present in noncalibrated reconstructions. The proposed IGCT calibration method reduces image artifacts when uncertainties exist in system geometry.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Jordan M. Slagowski, David A. P. Dunkerley, Charles R. Hatt, and Michael A. Speidel "Single-view geometric calibration for C-arm inverse geometry CT," Journal of Medical Imaging 4(1), 013506 (20 March 2017). https://doi.org/10.1117/1.JMI.4.1.013506
Received: 31 October 2016; Accepted: 6 March 2017; Published: 20 March 2017
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Cited by 3 scholarly publications.
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KEYWORDS
Calibration
Sensors
Detector arrays
Composites
Data acquisition
Modulation transfer functions
Error analysis
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