A Geometrical Calibration Method for C-Arm CT Based on a Nonlinear Registration Model
The image quality of C-arm computed tomography (CT) degrades due to the nonideal projection geometry due to mechanical vibrations of the gantry during the CT scan; therefore, geometrical calibration methods need to be applied to derive the view-specific projection matrices, which are incorporated in...
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| Vydáno v: | IEEE transactions on instrumentation and measurement Ročník 72; s. 1 - 13 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
2023
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| ISSN: | 0018-9456, 1557-9662 |
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| Abstract | The image quality of C-arm computed tomography (CT) degrades due to the nonideal projection geometry due to mechanical vibrations of the gantry during the CT scan; therefore, geometrical calibration methods need to be applied to derive the view-specific projection matrices, which are incorporated in the reconstruction processes. Previous geometrical calibration methods either require specific calibration phantoms or long computational time due to the 3-D–2-D registration process. This work begins with a theoretical derivation on how the perturbed geometrical parameters impact the projection images. It was found that with small perturbations of the view angle and the altitude angle, the relationship between the projection images under the ideal geometry and those under the perturbed geometry can be related based on a model-based 2-D deformation dependent on the perturbed geometrical parameters. Guided by the theoretical derivations, a new geometrical correction method was proposed, which generates the geometrical parameters based on 2-D–2-D registrations between the ideal projection images and the perturbed projection images. The proposed method was applied to offline and online calibration and was validated by both numerical experiments and physical experiments. |
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| AbstractList | The image quality of C-arm computed tomography (CT) degrades due to the nonideal projection geometry due to mechanical vibrations of the gantry during the CT scan; therefore, geometrical calibration methods need to be applied to derive the view-specific projection matrices, which are incorporated in the reconstruction processes. Previous geometrical calibration methods either require specific calibration phantoms or long computational time due to the 3-D–2-D registration process. This work begins with a theoretical derivation on how the perturbed geometrical parameters impact the projection images. It was found that with small perturbations of the view angle and the altitude angle, the relationship between the projection images under the ideal geometry and those under the perturbed geometry can be related based on a model-based 2-D deformation dependent on the perturbed geometrical parameters. Guided by the theoretical derivations, a new geometrical correction method was proposed, which generates the geometrical parameters based on 2-D–2-D registrations between the ideal projection images and the perturbed projection images. The proposed method was applied to offline and online calibration and was validated by both numerical experiments and physical experiments. |
| Author | Zhuo, Xu Chen, Yang Lu, Yuchen Ji, Xu Zhang, Yikun Zhu, Shiyu |
| Author_xml | – sequence: 1 givenname: Xu orcidid: 0000-0001-7901-5253 surname: Ji fullname: Ji, Xu organization: Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, the Laboratory of Image Science and Technology, School of Computer Science and Engineering, the School of Cyber Science and Engineering, and the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University, Nanjing, China – sequence: 2 givenname: Yuchen orcidid: 0000-0002-6786-1249 surname: Lu fullname: Lu, Yuchen organization: Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China – sequence: 3 givenname: Xu orcidid: 0000-0002-5306-1961 surname: Zhuo fullname: Zhuo, Xu organization: Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China – sequence: 4 givenname: Yikun orcidid: 0000-0002-4048-4869 surname: Zhang fullname: Zhang, Yikun organization: Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China – sequence: 5 givenname: Shiyu orcidid: 0000-0003-1694-5773 surname: Zhu fullname: Zhu, Shiyu organization: Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China – sequence: 6 givenname: Yang orcidid: 0000-0002-5660-6349 surname: Chen fullname: Chen, Yang organization: Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, the Laboratory of Image Science and Technology, School of Computer Science and Engineering, the School of Cyber Science and Engineering, and the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University, Nanjing, China |
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| SubjectTerms | Calibration Computed tomography Computing time Geometry Image quality Image reconstruction Mathematical models Medical imaging Parameters Perturbation Two dimensional models |
| Title | A Geometrical Calibration Method for C-Arm CT Based on a Nonlinear Registration Model |
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