Human-visual-system-based fusion of multimodality 3D neuroimagery using brain-shift-compensating finite-element-based deformable models

30 May 2003 Human-visual-system-based fusion of multimodality 3D neuroimagery using brain-shift-compensating finite-element-based deformable models

Jacques G. Verly, Lara M. Vigneron, Nicolas Petitjean, Christophe Martin, Raluca Guran, Romain Boman, Pierre A. Robe

Author Affiliations +

Proceedings Volume 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display; (2003) https://doi.org/10.1117/12.487088
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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, Lara M. Vigneron, Nicolas Petitjean, Christophe Martin, Raluca Guran, Romain Boman, and 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); https://doi.org/10.1117/12.487088

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