Deformable multi template matching with application to portal images

Martin Berger, Gaudenz Danuser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

The exact positioning of patients during radiotherapy is essential for high precision treatment. The registration of portal image sequences can help to control the patient position. The particular problem of such megavoltage X-ray imagery is its extremely low contrast, rendering accurate feature extraction a difficult task. To circumvent the step of feature extraction, the algorithm presented in this paper relies on an area-based matching of the image signal using deformable templates. This strategy contrasts with most state of the art registration algorithms for portal imagery. The paper includes the mathematical formalism of the least squares template matching method, as well as the framework for automated quality control, together yielding a fast, robust and very accurate image matching procedure. Tests on 17 portal image series with more than 100 images in total have shown very satisfying results. Artificially rotated and shifted images demonstrate the performance of the method with respect to a ground truth.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Editors Anon
Pages374-379
Number of pages6
StatePublished - 1997
EventProceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Juan, PR, USA
Duration: Jun 17 1997Jun 19 1997

Other

OtherProceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CitySan Juan, PR, USA
Period6/17/976/19/97

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Software
  • Control and Systems Engineering

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  • Cite this

    Berger, M., & Danuser, G. (1997). Deformable multi template matching with application to portal images. In Anon (Ed.), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 374-379)