References of "Vigneron, Lara"
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See detailSerial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI
Vigneron, Lara; Noels, Ludovic ULg; Warfield, Simon et al

in International Journal of Biomedical Imaging (2012), 2012

Current neuronavigation systems cannot adapt to changing intraoperative conditions over time. To overcome this limitation, we present an experimental end-to-end system capable of updating 3D preoperative ... [more ▼]

Current neuronavigation systems cannot adapt to changing intraoperative conditions over time. To overcome this limitation, we present an experimental end-to-end system capable of updating 3D preoperative images in the presence of brain shift and successive resections. The heart of our system is a nonrigid registration technique using a biomechanical model, driven by the deformations of key surfaces tracked in successive intraoperative images. The biomechanical model is deformed using FEM or XFEM, depending on the type of deformation under consideration, namely brain shift or resection. We describe the operation of our system on two patient cases, each comprising ¯ve intraoperative MR images, and demonstrate that our approach significantly improves the alignment of nonrigidly registered images. [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 detailIdentificación de parámetros de viscoelasticidad finita aplicada a la simulación del comportamiento mecánico de masa encefálica
Fancello, Eduardo; Vigneron, Lara; Noels, Ludovic ULg et al

in Congreso Iberoamericano de Ingenieria Mecanica (2007, October)

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See detailProblems and Challenges of Image-Guided Neurosurgical Navigation and Intervention
Verly, Jacques ULg; Kavec, Martin; Vigneron, Lara et al

in Lecture Notes in Computer Science (2006, November), 4263

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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 detailHuman-Visual-System-Based Fusion of Multimodality 3D Neuroimagery using Brain-Shift-Compensating Finite-Element-Based Deformable Models
Verly, Jacques ULg; Vigneron, Lara; Petitjean, Nicolas et al

in Proceedings of SPIE (2003, February), 5029

Our goal is to fuse multimodality imagery to enhance image-guided neurosurgery. Images that need to be fused must be registered. Registration becomes a challenge when the imaged object deforms between the ... [more ▼]

Our goal is to fuse multimodality imagery to enhance image-guided neurosurgery. Images that need to be fused must be registered. Registration becomes a challenge when the imaged object deforms between the times the images to be fused are taken. This is the case when “brain-shift” occurs. We begin by describing our strategy for nonrigid registration via finite-element methods. Then, we independently discuss an image fusion strategy based on a model of the human visual system. We illustrate the operation of many components of the registration system and the operation of the fusion system. [less ▲]

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