ABrIL (Advanced Brain image Lab)

Advanced Brain Image Lab

Neuroscience is an increasingly multidisciplinary and highly cooperative field where neuroimaging plays an important role. Neuroimaging rapid evolution is demanding for a growing number of computing resources and skills that need to be put in place at every lab. Typically each group tries to setup their own servers and workstations to support their neuroimaging needs, having to learn from Operating System management to specific neuroscience software tools details before any results can be obtained from each setup. This setup and learning process is replicated in every lab, even if a strong collaboration among several groups is going on. Advanced Brain Imaging Lab (ABrIL) is an ubiquitous virtual desktop remote infrastructure that offers a set of neuroimaging computational services in an interactive neuroscientist-friendly graphical user interface (GUI).

ABRiL Use Cases

This remote desktop has been used for several multi-institution cooperative projects with different neuroscience objectives that already achieved important results, such as the contribution to a high impact paper published in the January issue of the Neuroimage journal. The ABrIL system has shown its applicability in several neuroscience projects with a relatively low-cost, promoting truly collaborative actions and speeding up project results and their clinical applicability.

Key Publications:

  • Moreira da Silva, N., Rozanski, V. E., Tafula, S. M. N., & da Silva Cunha, J. P. (2014). Precise 3D Deep Brain Stimulation Electrode Location based on Multimodal Neuroimage Fusion. In PhyCS (pp. 48-54).
  • Rozanski, V. E., Vollmar, C., Cunha, J. P., Tafula, S. M. N., Ahmadi, S. A., Patzig, M., … & Bötzel, K. (2014). Connectivity patterns of pallidal DBS electrodes in focal dystonia: a diffusion tensor tractography study. Neuroimage, 84, 435-442.
  • Tafula, S. M. N., Moreira da Silva, Nádia., Rozanski, V. E., & Cunha, J. P. S. (2014, August). ABrIL—Advanced Brain Imaging lab.: A cloud based computation environment for cooperative neuroimaging projects. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 534-537). IEEE.