Image-based estimation and nonparametric modeling: Towards enhanced geometric calibration of an X-ray system

R.I. Gaasbeek; R.J.R. van der Maas; M. den Hartog; Bram de Jager

doi:10.1109/CCA.2015.7320753

Image-based estimation and nonparametric modeling: Towards enhanced geometric calibration of an X-ray system

R.I. Gaasbeek, R.J.R. van der Maas, M. den Hartog, Bram de Jager

Control Systems Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

5 Downloads (Pure)

Abstract

Geometric calibrations of medical imaging systems are crucial to allow for advanced (X-ray) imaging techniques. Developments in medical procedures, lightweight system design and the growing costs of healthcare, leads to the desire for simpler and faster calibration approaches. The aim of this paper is to present a novel approach to enhance system calibrations for a wide range of imaging applications. The method is based on the introduction of small markers within the line of sight of the system, by virtue of a small mechanical adjustment to the system. By detecting markers in the X-ray images, displacements between the systems X-ray source and detector are in-situ measured. Additionally, the approach can be used to obtain nonparametric models of the dynamics of the mechanical system, enabling advanced observer-based estimation approaches. The potential of the method is illustrated by experimental results.

Original language	English
Title of host publication	2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1063-1068
Number of pages	6
ISBN (Print)	978-1-4799-7787-1
DOIs	https://doi.org/10.1109/CCA.2015.7320753
Publication status	Published - 4 Nov 2015
Event	2015 IEEE Conference on Control Applications (CCA 2015) - Novotel Manley, Sydney, Australia Duration: 21 Sept 2015 → 23 Sept 2015

Conference

Conference	2015 IEEE Conference on Control Applications (CCA 2015)
Abbreviated title	CCA 2015
Country/Territory	Australia
City	Sydney
Period	21/09/15 → 23/09/15

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10.1109/CCA.2015.7320753

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Gaasbeek, R. I., van der Maas, R. J. R., den Hartog, M., & de Jager, B. (2015). Image-based estimation and nonparametric modeling: Towards enhanced geometric calibration of an X-ray system. In 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings (pp. 1063-1068). Article 7320753 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CCA.2015.7320753

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abstract = "Geometric calibrations of medical imaging systems are crucial to allow for advanced (X-ray) imaging techniques. Developments in medical procedures, lightweight system design and the growing costs of healthcare, leads to the desire for simpler and faster calibration approaches. The aim of this paper is to present a novel approach to enhance system calibrations for a wide range of imaging applications. The method is based on the introduction of small markers within the line of sight of the system, by virtue of a small mechanical adjustment to the system. By detecting markers in the X-ray images, displacements between the systems X-ray source and detector are in-situ measured. Additionally, the approach can be used to obtain nonparametric models of the dynamics of the mechanical system, enabling advanced observer-based estimation approaches. The potential of the method is illustrated by experimental results.",

author = "R.I. Gaasbeek and {van der Maas}, R.J.R. and {den Hartog}, M. and {de Jager}, Bram",

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Gaasbeek, RI, van der Maas, RJR, den Hartog, M & de Jager, B 2015, Image-based estimation and nonparametric modeling: Towards enhanced geometric calibration of an X-ray system. in 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings., 7320753, Institute of Electrical and Electronics Engineers, Piscataway, pp. 1063-1068, 2015 IEEE Conference on Control Applications (CCA 2015), Sydney, Australia, 21/09/15. https://doi.org/10.1109/CCA.2015.7320753

Image-based estimation and nonparametric modeling: Towards enhanced geometric calibration of an X-ray system. / Gaasbeek, R.I.; van der Maas, R.J.R.; den Hartog, M. et al.
2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 2015. p. 1063-1068 7320753.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Geometric calibrations of medical imaging systems are crucial to allow for advanced (X-ray) imaging techniques. Developments in medical procedures, lightweight system design and the growing costs of healthcare, leads to the desire for simpler and faster calibration approaches. The aim of this paper is to present a novel approach to enhance system calibrations for a wide range of imaging applications. The method is based on the introduction of small markers within the line of sight of the system, by virtue of a small mechanical adjustment to the system. By detecting markers in the X-ray images, displacements between the systems X-ray source and detector are in-situ measured. Additionally, the approach can be used to obtain nonparametric models of the dynamics of the mechanical system, enabling advanced observer-based estimation approaches. The potential of the method is illustrated by experimental results.

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Image-based estimation and nonparametric modeling: Towards enhanced geometric calibration of an X-ray system

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