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

Perrine Paul 1, 2, * Aurélie Quere 1 Elise Arnaud 3 Xavier Morandi 1, 4 Pierre Jannin 1
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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.
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Contributor : Aurore Quentin <>
Submitted on : Wednesday, June 27, 2007 - 4:27:08 PM
Last modification on : Thursday, January 14, 2021 - 11:16:42 AM
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  • HAL Id : inserm-00109455, version 1


Perrine Paul, Aurélie Quere, Elise Arnaud, Xavier Morandi, Pierre Jannin. A surface registration approach for video-based analysis of intraoperative brain surface deformations. Oct 2006, pp.0. ⟨inserm-00109455⟩



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