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    Optical flow for validating medical image registration

    18955_downloaded_stream_47.pdf (76.33Kb)
    Access Status
    Open access
    Authors
    Cooper, James
    Date
    2003
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Cooper, James. 2003. : Optical flow for validating medical image registration, 9th IASTED International Conference on Signal and Image Processing, 13-15 August 2003, pp. 502-506. Honolulu, Hawaii, USA: ACTA Press / IASTED.
    Source Title
    Proceedings of the 9th IASTED International Conference on Signal and Image Processing
    Source Conference
    9th IASTED International Conference on Signal and Image Processing
    Faculty
    Faculty of Engineering and Computing
    Division of Engineering, Science and Computing
    Department of Computing
    Remarks

    The paper was published in the Proceedings of the 9th IASTED International Conference on Signal and Image Processing. August 13-15, Honolulu, Hawaii, USA, IASTED/ACTA Press, pp.502-506

    Intellectual property of IASTED published under ACTA Press.

    URI
    http://hdl.handle.net/20.500.11937/45170
    Collection
    • Curtin Research Publications
    Abstract

    Many approaches to the task of computing medical image registration have been presented, but there is little knowledge of how to evaluate the quality of the models of transformation these approaches use, or accuracy of the computed parameters. There is the well known technique of comparing the reference image to a transformed secondary image, but evidence to support or deny accuracy of the transformation is still hard to obtain.Many approaches to the task of computing medical image registration have been presented, but there is little knowledge of how to evaluate the quality of the models of transformation these approaches use, or accuracy of the computed parameters. There is the well known technique of comparing the reference image to a transformed secondary image, but evidence to support or deny accuracy of the transformation is still hard to obtain.This paper presents a technique to give researchers and clinicians clear visual evidence to validate the accuracy of 2D and 3D registration of medical images. It works by borrowing the computer vision technique of optical flow to compute disparities between the reference image and the transformed secondary image. The resulting disparity information may be presented as a needle diagram to assist with communication of results via paper, or used in subsequent steps of a registration algorithm.

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