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    A surface registration approach for video-based analysis of intraoperative brain surface deformations.


    Paul, Perrine and Quere, Aurélie and Arnaud, Elise and Morandi, Xavier and Jannin, Pierre (2006) A surface registration approach for video-based analysis of intraoperative brain surface deformations. In: Proceedings of the Workshop on Augmented Environments for Medical Imaging and Computer-Aided Surgery (AMI-ARC'06), Oct 06, 2006 , Copenhagen, Denmark .

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    Official URL: http://campar.in.tum.de/files/amiarcs06/Paul_-_Sur...


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    Abstract

    Anatomical intra operative deformation is a major limitation of accuracy in image guided neurosurgery. Approaches to quantify these deforamations based on 3D reconstruction of surfaces have been introduced. For accurate quantification of surface deformation, a robust surface registration method is required. In this paper, we propose a new surface registration for video-based analysis of intraoperative brain deformations. This registration method includes three terms: the first term is related to image intensities, the second to Euclidean distance and the third to anatomical landmarks continuously tracked in 2D video. This new surface registration method can be used with any cortical surface textured point cloud computed by stereoscopic or laser range approaches. We have shown the global method, including textured point cloud reconstruction, had a precision within 2 millimeters, which is within the usual rigid registration error of the neuronavigation system before deformations.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Image-guided neurosurgery; Intra operative brain surface deformation, video analysis; AMI-ARC'06; Hamilton Institute.
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 1773
    Depositing User: Hamilton Editor
    Date Deposited: 11 Jan 2010 13:12
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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