Motion measurements in low-contrast X-ray imagery

  • Martin Berger
  • Guido Gerig
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1496)


Measuring motion in medical imagery becomes more and more important, in particular for object tracking, image registration, and local displacement measurements. Such measurements are especially difficult in megavoltage X-ray images (portal images), which are used to control the position of patients in high precision radiotherapy. Low contrast, blur, and noise render accurate measurements difficult.

In this work we review the framework of a generic matching algorithm only based on the image signal and not on binary image features. Thus, the often unreliable step of feature extraction in such imagery is circumvented. Another major advantage is the possibility of self-diagnosis, which is used for restricting the transformation in motion measurements if the image quality is not sufficient.

The method of digitally reconstructed radiographs (DRR) allow for the computation of error free reference images, avoiding the additional step of therapy simulation. The multi-modal match between such DRRs and portal images lead to an estimate of the patient position during radiotherapy treatment. Results of generated data with known ground truth as well as results of a multi-modal match are presented.


Portal Image Electronic Portal Imaging Device Template Region Cofactor Matrix Multiple Template 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Martin Berger
    • 1
  • Guido Gerig
    • 1
  1. 1.Communication Technology Lab Image ScienceSwiss Federal Institute of TechnologyZürichSwitzerland

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