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    Computer-assisted generation of multi-leaf collimator settings for conformation therapy.

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    Authors
    Hounsell, Alan R
    Sharrock, Phillip J
    Moore, Christopher J
    Shaw, A J
    Wilkinson, John M
    Williams, Peter C
    Affiliation
    North Western Medical Physics Department, Christie Hospital & Holt Radium Institute, Withington, Manchester, UK.
    Issue Date
    1992-04
    
    Metadata
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    Abstract
    Techniques for the automatic set up of the individual leaf positions of a Philips multi-leaf collimator system to cover a defined target volume are described. Tumour outline data for multi-field treatments may be obtained from one of two techniques, either from simulator images or from cross-sectional computed tomography (CT) slices. In the first technique, simulator images are digitized directly from image intensifier video signals or from conventional film radiographs using a CCD camera. Corrections for image distortion are carried out before reformatting the digitized images to a common data structure. Target outlines are subsequently traced interactively on the digital image to create an outline file. In the second technique, target volumes are defined on several individual CT slices and these are then used to obtain projected graphical views from any desired angle. In both techniques, a scaled graphical representation of leaf positions is then displayed and set relative to the outer edge of the target outline. Both techniques allow interactive repositioning of single leaves when required, or the operator can specify a margin around the projected target volume. Leaf prescription data files are created and are transferred via a Decnet-OSI-Opennet network link to an Intel microcomputer, which is used to drive the device itself. Examples of both techniques are given.
    Citation
    Computer-assisted generation of multi-leaf collimator settings for conformation therapy. 1992, 65 (772):321-6 Br J Radiol
    Journal
    The British Journal of Radiology
    URI
    http://hdl.handle.net/10541/109626
    DOI
    10.1259/0007-1285-65-772-321
    PubMed ID
    1581790
    Type
    Article
    Language
    en
    ISSN
    0007-1285
    ae974a485f413a2113503eed53cd6c53
    10.1259/0007-1285-65-772-321
    Scopus Count
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