Brain tissue segmentation on diffusion weighted magnetic resonance data

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Magnetic resonance imaging (MRI) is a powerful modality for investigating abnormal developmental patterns in utero. However, since it is not the first-line diagnostic tool in this sensitive population, data remain scarce and heterogeneous across scanners a ...

Tractography techniques map white matter bundles in the brain using diffusion magnetic resonance imaging (dMRI) data. These techniques use models to calculate paths where water molecule diffusion is least hindered, assuming these paths approximate the unde ...

Functional magnetic resonance imaging (fMRI) relies upon the blood-oxygenation-level-dependent (BOLD) signal as a proxy for neuronal activity. Whole-brain coverage and millimetric resolution have propelled this modality as a workhorse for human neuroscienc ...

Bioorthogonal chemistry is a rising field investigating chemical reactions in physiological environments with high specificity. However, only very few examples concern the real-time monitoring of bioorthogonal reactions by luminescence or magnetic relaxivi ...

Microstructure imaging with diffusion MRI (dMRI) is usually based on fitting models to the data using voxelwise nonlinear procedures that (i) are time consuming and (ii) need long acquisitions. Recently, we introduced the AMICO framework to accelerate the ...

Brain tissue segmentation on diffusion weighted magnetic resonance data

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A dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain

Probabilistic tractography

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