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Commit 12305a43 authored by afhar's avatar afhar
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Update media.md

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......@@ -10,8 +10,8 @@ Below, you find the following highlights:
- [Shape and appearance modelling](#shape-and-appearance-modelling)
- [Geometric machine learning](#geometric-machine-learning)
- [Cross-disciplinary applications](#cross-disciplinary-applications )
- [Synchrotron imaging for validation and prediction models of diffusion MRI](#synchrotron-imaging-for-validation-and-prediction-models-of-diffusion-MRI)
- [Light-sheet Fluorescence microscopy is crosslinked with MRI ](#light-sheet-fluorescence-microscopy-is-crosslinked-with-MRI)
- [Synchrotron imaging for validation and prediction models of diffusion MRI](#synchrotron-imaging-for-validation-and-prediction-models-of-diffusion-mri)
- [Light-sheet Fluorescence microscopy is crosslinked with MRI ](#light-sheet-fluorescence-microscopy-is-crosslinked-with-mri)
## Magnetic resonance imaging of the brain
Magnetic resonance imaging (MRI) is an extremely versatile modality that allows us to acquire 3D images of the **brain** with many different “contrasts” leading to the collection of 4D or sometimes N-D volumes. **Modeling** these images means applying and developing **signal/image processing**, **biophysical models**, and **mathematical procedures** to report summary parameters that can reveal the presence of pathology like stroke, edema, trauma, neurodegeneration, demyelination, etc. There is a variety of MRI techniques like functional and structural MRI (relaxometry, susceptibility, etc.).
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