30 May 2003 Human-visual-system-based fusion of multimodality 3D neuroimagery using brain-shift-compensating finite-element-based deformable models
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Abstract
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.
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Jacques G. Verly, Jacques G. Verly, Lara M. Vigneron, Lara M. Vigneron, Nicolas Petitjean, Nicolas Petitjean, Christophe Martin, Christophe Martin, Raluca Guran, Raluca Guran, Romain Boman, Romain Boman, Pierre A. Robe, Pierre A. Robe, } "Human-visual-system-based fusion of multimodality 3D neuroimagery using brain-shift-compensating finite-element-based deformable models", Proc. SPIE 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display, (30 May 2003); doi: 10.1117/12.487088; https://doi.org/10.1117/12.487088
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