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

in 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 ULiege; Ponthot, Jean-Philippe ULiege et al

in Journal of Computational and 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 ULiege et al

in 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 ULiege; Ponthot, Jean-Philippe ULiege 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 detailLe rôle de l’ingénieur en imagerie médicale
Verly, Jacques ULiege; Vigneron, Lara M.; Boman, Romain C. et al

Conference (2007)

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See detailProblem and challenges of image-guided neurosurgical navigation and intervention
Verly, Jacques ULiege; Kavec, Martin; Vigneron, Lara M. et al

Conference (2006)

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See detailSeminar, “Change Detection and Similarity Afternoon”, Royal Military Academy (RMA)
Vigneron, Lara M.; Verly, Jacques ULiege

Scientific conference (2006)

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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 detailIntraoperative brain image update based on biomechninical models
Vigneron, Lara M.; Robe, Pierre A.; Verly, Jacques ULiege

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 detailImage-guided surgery: the engineer’s view- point
Verly, Jacques ULiege; Vigneron, Lara M.; Kavec, Martin et al

Scientific conference (2005)

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See detailSeminar, Laboratory of Image Synthesis and Analysis
Vigneron, Lara M.; Verly, Jacques ULiege

Scientific conference (2005)

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

Conference (2005)

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See detailUpdate of diagnostic preoperative images using low-field interventional MRI for neurosurgery: rigid-body registration
Kavec, Martin; Wikler, David; Phillips, Christophe L. et al

Conference (2005)

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See detailSeminar, Surgical Planning Laboratory (SPL)
Vigneron, Lara M.; Verly, Jacques ULiege

Scientific conference (2004)

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

Conference (2004)

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See detailNonrigid registration and multimodality image fusion for 3D image-guided neurosurgery
Verly, Jacques ULiege; Vigneron, Lara M.; Mercenier, Julien et al

Conference (2004)

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See detailNonrigid registration and multimodality image fusion for 3D image-guided neurochirurgical planning and navigation
Verly, Jacques ULiege; Vigneron, Lara M.; Petitjean, Nicolas et al

Conference (2004)

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