References of "Warfield, Simon K"
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See detail3D XFEM-based modeling of retraction for preoperative image update.
Vigneron, Lara M.; Warfield, Simon K.; Robe, Pierre ULg et al

in Computer aided surgery : official journal of the International Society for Computer Aided Surgery (2011), 16(3), 121-34

Outcomes for neurosurgery patients can be improved by enhancing intraoperative navigation and guidance. Current navigation systems do not accurately account for intraoperative brain deformation. So far ... [more ▼]

Outcomes for neurosurgery patients can be improved by enhancing intraoperative navigation and guidance. Current navigation systems do not accurately account for intraoperative brain deformation. So far, most studies of brain deformation have focused on brain shift, whereas this paper focuses on the brain deformation due to retraction. The heart of our system is a 3D nonrigid registration technique using a biomechanical model driven by the deformations of key surfaces tracked between two intraoperative images. The key surfaces, e.g., the whole-brain region boundary and the lips of the retraction cut, thus deform due to the combination of gravity and retractor deployment. The tissue discontinuity due to retraction is handled via the eXtended Finite Element Method (XFEM), which has the appealing feature of being able to handle arbitrarily shaped discontinuity without any remeshing. Our approach is shown to significantly improve the alignment of intraoperative MRI. [less ▲]

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See detailEnhanced FEM-based Modeling of Brain Shift Deformation in Image-Guided Neurosurgery
Vigneron, Lara M.; Boman, Romain ULg; Ponthot, Jean-Philippe ULg et al

in Journal of Computational & Applied Mathematics (2010), 234

We consider the problem of improving outcomes for neurosurgery patients by enhancing intraoperative navigation and guidance. Current navigation systems do not accurately account for intraoperative brain ... [more ▼]

We consider the problem of improving outcomes for neurosurgery patients by enhancing intraoperative navigation and guidance. Current navigation systems do not accurately account for intraoperative brain deformation. We focus on the brain shift deformation that occurs just after the opening of the skull and dura. The heart of our system is a nonrigid registration technique using a biomechanical model. We specifically work on two axes: the representation of the structures in the biomechanical model and the evaluation of the surface landmark displacement fields between intraoperative MR images. Using the modified Hausdorff distance as an image similarity measure, we demonstrate that our approach significantly improves the alignment of the intraoperative images. ' 2009 Elsevier B.V. All rights reserved. [less ▲]

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See detail2D XFEM-based modeling of retraction and successive resections for preoperative image update.
Vigneron, Lara M.; Duflot, Marc P.; Robe, Pierre ULg et al

in Computer aided surgery : official journal of the International Society for Computer Aided Surgery (2009), 14(1-3), 1-20

This paper considers an approach to improving outcomes for neurosurgery patients by enhancing intraoperative navigation and guidance. Currently, intraoperative navigation systems do not accurately account ... [more ▼]

This paper considers an approach to improving outcomes for neurosurgery patients by enhancing intraoperative navigation and guidance. Currently, intraoperative navigation systems do not accurately account for brain shift or tissue resection. We describe how preoperative images can be incrementally updated to take into account any type of brain tissue deformation that may occur during surgery, and thus to improve the accuracy of image-guided navigation systems. For this purpose, we have developed a non-rigid image registration technique using a biomechanical model, which deforms based on the Finite Element Method (FEM). While the FEM has been used successfully for dealing with deformations such as brain shift, it has difficulty with tissue discontinuities. Here, we describe a novel application of the eXtended Finite Element Method (XFEM) in the field of image-guided surgery in order to model brain deformations that imply tissue discontinuities. In particular, this paper presents a detailed account of the use of XFEM for dealing with retraction and successive resections, and demonstrates the feasibility of the approach by considering 2D examples based on intraoperative MR images. To evaluate our results, we compute the modified Hausdorff distance between Canny edges extracted from images before and after registration. We show that this distance decreases after registration, and thus demonstrate that our approach improves alignment of intraoperative images. [less ▲]

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See detailIssues in FEM-based Modeling of Brain Shift in Neurosurgery
Vigneron, Lara M.; Boman, Romain ULg; Ponthot, Jean-Philippe ULg et al

in Hogge, Michel; Van Keer, R.; Noels, Ludovic (Eds.) et al Proceedings of ACOMEN’2008, Advanced Computational Methods in Engineering (2008, May)

We consider the problem of improving outcomes for neurosurgery patients by enhancing intraoperative navigation and guidance. Current navigation systems do not accurately account for intraoperative brain ... [more ▼]

We consider the problem of improving outcomes for neurosurgery patients by enhancing intraoperative navigation and guidance. Current navigation systems do not accurately account for intraoperative brain deformation. In this work, we focus on the brain shift deformation that occurs just after the opening of the skull and dura, before any cut and subsequent deformation has happened. We test several algorithms and parameters in order to evaluate their impact on the modeling of the brain shift. [less ▲]

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See detail3D FEM/XFEM-based Biomechanical Brain Modeling for Preoperative Image Update
Vigneron, Lara; Boman, Romain ULg; Robe, Pierre ULg et al

in Miller, Karol; Paulsen, Keith D.; Young, Alistair A. (Eds.) et al MICCAI 2007 Workshop Proceedings : Computational Biomechanics for Medicine II (2007, November)

We present an end-to-end system for updating 3D preoperative images in the presence of brain shift and successive resections. The tissue discontinuities due to resections are handled via the eXtented ... [more ▼]

We present an end-to-end system for updating 3D preoperative images in the presence of brain shift and successive resections. The tissue discontinuities due to resections are handled via the eXtented Finite Element Method (XFEM), which has the appealing feature of handle arbitrarily-shaped discontinuity without any remeshing. The main novelty of the paper lies in the use of XFEM in 3D. [less ▲]

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See detailNavigation neurochirurgicale basée sur des modèles biomécaniques
Vigneron; Boman, Romain C.; Ponthot, Jean-Philippe et al

Conference (2007)

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See detailPreoperative Brain Image Update with FEM- and XFEM-based Biomechanical Model
Vigneron, Lara; Boman, Romain ULg; Robe, Pierre et al

in 7th World Congress on Computational Mechanics (2006, July)

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See detailPreoperative Brain Image Update with FEM- and XFEM-based Biomedical Model
Vigneron, Lara M.; Boman, Romain C.; Robe, Pierre A. et al

Conference (2006)

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See detailXFEM-based modeling of successive resections for preoperative image updating
Vigneron, Lara M.; Robe, Pierre A.; Warfield, Simon K. et al

Conference (2006)

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See detailApplication of XFEM to image-guided surgery
Vigneron, Lara M.; Duflot, Marc P.; Verly, Jacques ULg et al

Conference (2005)

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See detailModelling surgical cuts, retractions, and resections via Extended Finite Element Method
Vigneron, Lara M.; Verly, Jacques ULg; Warfield, Simon K.

Conference (2004)

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See detailOn Extended Finite Element Method (XFEM) for modelling of organ deformations associated with surgical cuts
Vigneron, Lara M.; Warfield, Simon K.; Verly, Jacques ULg

Conference (2004)

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