Demonstrations

Our work focuses on image analysis and data fusion methods in medical imaging applied to:

Brain Imaging Statistical analysis methods for linear and non-linear registration of anatomical and functional data in the context of : Denoising based on an Optimized Non Local Means filter Multidimensional segmentation of MS lesions in MRI Indexing  image databases in neuroimaging (french national project 'Neurobase') Non-linear registration of MRI acquisition of different subjects  Non-linear multimodality registration between anatomical and functional MRI  Cooperation between local and global approaches to register brain images Statistical models of cortical features Shape modeling in brain imaging for registration purpose Segmentation of brain structures  Segmentation with level sets and fuzzy logic

Image-Guided Neurosurgery Calibration, segmentation, restauration, and visualization of pre and intraoperative images in the context of : Multimodal registration of Intraoperative US and Preoperative MR images 3D Freehand Ultrasound Reconstruction Based on Probe Trajectory Stereoscopic Reconstruction in Multimodal Image-Guided Neurosurgery Multimodal Neurosurgery Planning Preoperative Brain Shift Segmentation of 3D echographies Non-rigid registration of 3D per-operative echographi

Additional links:

• Video Presentation of Data fusion for image guided neurosurgery (in French) for IRISA 30th anniversary
• General Presentation of Data fusion for image guided neurosurgery (in French) for INTERSTICES, the INRIA web journal
• Video Presentation of information and knowledge guided neurosurgery (in French) for INRIA scientific presentations
• A graphical overview of these activities can be found in this pdf file.