Paper
29 August 2016 A geometric calibration method for cone beam CT system
Qian Xiang, Jue Wang, Yufang Cai
Author Affiliations +
Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100333G (2016) https://doi.org/10.1117/12.2244579
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
FDK algorithm widely used in cone beam CT image reconstruction has strict requirements on the geometric alignment of cone beam CT system. In terms of the cone beam CT system, especially the micro-CT system, the actual installation accuracy is difficult to meet the requirements of micro level positioning, it inevitably leads to image distortion. To solve this kind of problem, this paper proposes a geometric calibration method based on the square-line phantom. Firstly, we acquire square-line phantom projection in a fixed direction under different voltages, frame frequency and exposure time , and analytically determine the calibration geometry of the cone beam system. Finally reconstruct image using modified FDK algorithm, which has well calibrated the geometric errors of cone beam CT system. The experiments demonstrate that the proposed method has good noise immunity, and the positioning accuracy can meet the needs of practical application.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qian Xiang, Jue Wang, and Yufang Cai "A geometric calibration method for cone beam CT system", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100333G (29 August 2016); https://doi.org/10.1117/12.2244579
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Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Sensors

Reconstruction algorithms

Image quality

Image filtering

Computed tomography

Signal to noise ratio

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