
A magnetic resonance imaging technique that measures water diffusion in tissues to infer tissue microstructure.Diffusion MRI is a magnetic resonance imaging technique that measures the random motion (diffusion) of water molecules in biological tissues. Because water diffusion is hindered by cellular structures — membranes, organelles, and fibers — the measured diffusion pattern encodes information about tissue microstructure at a scale much smaller than the imaging resolution. This makes diffusion MRI a powerful tool for non-invasively probing the architecture of organs like the brain, heart, and muscles.
Diffusion MRI was pioneered in the mid-1980s by Denis Le Bihan and colleagues, who developed the concept of diffusion-weighted imaging (DWI). The diffusion tensor model was introduced in the early 1990s by Peter Basser and collaborators, enabling the mapping of fiber orientations.
The technique uses magnetic field gradients to sensitize the MRI signal to molecular displacement. In a typical diffusion-weighted sequence, two strong gradient pulses are applied: the first dephases the spins, and the second rephases them. If water molecules have moved between the pulses, the rephasing is incomplete, leading to signal attenuation. The amount of attenuation is related to the diffusion coefficient along the gradient direction. By applying gradients in multiple directions, one can reconstruct a diffusion tensor that describes the magnitude and directionality of water motion — revealing, for example, the orientation of white matter fiber tracts in the brain.
Diffusion MRI is widely used in clinical neurology for diagnosing stroke, in neurosurgery for surgical planning, and in research for studying brain connectivity. It is also applied to other tissues, such as muscle and cardiac imaging, and is being explored for cancer characterization.
The technique can reveal the internal structure of cells without a microscope, as highlighted in the article 'Как разглядеть, что внутри клетки'.
























