The brain is the controller of all our cognitive functions. It can be divided into two parts.
The grey matter is where the real processing is conducted. It is full of nerve cell bodies and the majority of the dendrites. It fills about 40% of the whole brain in humans and consumes 94% of oxygen.
The white matter, however, is made up of extending, militated nerve fibers. It allows communication between grey matter areas, and communication between the grey matter and other parts of the body. Investigating the living brain white matter is one of the biggest challenges in the neuroscience field.
Currently, diffusion weighted (DW) MRI is widely used in the investigation of human brain white matter connectivity.
Many restoration techniques and fiber tractography algorithms have been developed based on this.
However, it is not clear whether these methods can accurately reproduce the white matter bundle characteristics in real-world conditions, such as in the presence of noise and mechanical vibrations.
In a study newly published in PLoS ONE, scientists designed a software platform (Diffusion BRAIN).
The D-BRAIN can approximate a human brain accurately, and it can incorporate complex brain-like structural features.
Furthermore, researchers developed an accurate model of a DW-MRI scanning method to allow the validation of the platform in realistic conditions.
Using these techniques, researchers now can evaluate DW-MR image processing and FT algorithms reliably and examine image artifacts in great details.
Citation: Perrone D, Jeurissen B, Aelterman J, Roine T, Sijbers J, Pizurica A, et al. (2016). D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data. PLoS ONE, 11: e0149778. doi:10.1371/ journal.pone.0149778
Figure legend: This Knowridge.com image is derived from the cited article under CC-BY license.