NeuroPoly
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This document discusses the development of MRI methods for neuroscience applications. It notes that MRI is important for studying diseases like multiple sclerosis and Alzheimer's but faces challenges related to hardware, image acquisition, and processing. The approach is to build expertise across the entire MRI process, from building customized coils and optimizing pulse sequences, to advanced imaging techniques, image processing, and collaborating with other institutions to study diseases.
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NeuroPoly
- 1. Hardware Acquisitions Processing Applications Development of MRI methods applied to Neuroscience Hardware Acquisitions Analyses Applications ◾ MRI in neuroscience ‣ Important applications (Multiple sclerosis,Alzheimer, etc.) ‣ Need biomarker to validate new treatments ‣ Challenges of MRI (hardware, acquisition, image processing) ‣ Highly multidisciplinary field ◾ Our approach :To develop a global expertise
- 2. Hardware Acquisitions Processing Applications Development of MRI methods applied to Neuroscience MRI coil Lab Building coilsElectromagnetic simulations
- 3. Hardware Acquisitions Processing Applications Development of MRI methods applied to Neuroscience 7 tesla (animal) 3 tesla (human) • Optimization of pulse sequences • Anatomical and Functional Imaging • Developing advanced techniques to reduce artifacts (motion, etc.) • In vivo histology
- 4. Hardware Acquisitions Processing Applications Development of MRI methods applied to Neuroscience Image Processing Lab Segmentation Tractography Functional MRI Biophysical modelling
- 5. Hardware Acquisitions Processing Applications Development of MRI methods applied to Neuroscience ! Spinal Cord Injury Electrophysiology Neurological diseases Multiple sclerosis
- 6. Hardware Acquisitions Processing Applications Development of MRI methods applied to NeuroscienceCollaborative institutions