Abstract
Compared to single source systems, stereo X-ray CT systems allow acquiring projection data within a reduced amount of time, for an extended field-of-view, or for dual X-ray energies. To exploit the benefit of a dual X-ray system, its acquisition geometry needs to be calibrated. Unfortunately, in modular stereo X-ray CT setups, geometry misalignment occurs each time the setup is changed, which calls for an efficient calibration procedure. Although many studies have been dealing with geometry calibration of an X-ray CT system, little research targets the calibration of a dual cone-beam X-ray CT system. In this work, we present a phantom-based calibration procedure to accurately estimate the geometry of a stereo cone-beam X-ray CT system. With simulated as well as real experiments, it is shown that the calibration procedure can be used to accurately estimate the geometry of a modular stereo X-ray CT system thereby reducing the misalignment artifacts in the reconstruction volumes.
Highlights
Detector pairs that are positioned at different viewing angles with respect to the target object
We introduce a full procedure to calibrate the geometry of a modular stereo cone-beam CT system with a LEGO phantom containing metal markers, strategically placed in the bearing bricks
Models of the phantoms in the stereo cone-beam geometry, which was modified with the geometry parameters, to generate the simulated radiographs of the phantoms
Summary
Detector pairs that are positioned at different viewing angles with respect to the target object. Many studies have dealt with single cone-beam X-ray CT system calibration They include self-calibration methods [7,8,9,10], which calculate the geometry parameters of the acquisition system directly from the acquired radiographs of the target objects, and calibration phantom-based techniques [11,12,13,14]. In the work presented by Parkinson et al [7], the object orientation parameters were estimated from an iterative, projection matching and reconstruction-based procedure. This was followed by a calculation of the 2D shifts. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations
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