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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
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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 languageEnglish
Title of host publication2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Print)978-1-4799-7787-1
Publication statusPublished - 4 Nov 2015
Event2015 IEEE Conference on Control Applications (CCA 2015) - Novotel Manley, Sydney, Australia
Duration: 21 Sept 201523 Sept 2015


Conference2015 IEEE Conference on Control Applications (CCA 2015)
Abbreviated titleCCA 2015


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