Motion measurements in low-contrast X-ray imagery

Martin Berger, Guido Gerig

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

    Abstract

    Measuring motion in medical imagery becomes more and more important, in particular for object tracking, image registration, and local displacement measurements. Such measurements axe 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 axe presented.

    Original languageEnglish (US)
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings
    EditorsWilliam M. Wells, Alan Colchester, Scott Delp
    PublisherSpringer Verlag
    Pages832-841
    Number of pages10
    ISBN (Print)3540651365, 9783540651369
    DOIs
    StatePublished - 1998
    Event1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998 - Cambridge, United States
    Duration: Oct 11 1998Oct 13 1998

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1496
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998
    CountryUnited States
    CityCambridge
    Period10/11/9810/13/98

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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