DOI: 10.22184/1993-8578.2021.14.3-4.188.195

Diffusion MRI is a magnetic resonance imaging method that estimates random molecular motion of molecules in biological tissue. The most popular its application consists in disentangling of tissue anisotropy. Nowadays high resolution imaging techniques allow to make conclusions not only about brain white matter structure but also a gray matter attracts a great attention. However, such potentially valuable MRI methods are not used in clinical environment routinely because they require a long acquisition time. In this work we process low-resolution diffusion MRI and calculate high-resolution images by means of super-resolution reconstruction. We calculate diffusion-tensor and estimate quality of its fitting comparing with alternative interpolation methods. We demonstrate benefit of super-resolution technique in terms of root-mean-square error and by analyzing fractional anisotropy and other tensor invariants.


Разработка: студия Green Art