ABrIL - Advanced Brain Imaging Lab.: a cloud based computation environment for cooperative neuroimaging projects

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2014

Autores

Neves Tafula, SMN (Autor) FEUP; da Silva, NM (Autor) Outra; Rozanski, VE (Autor) Outra; Cunha, JPS (Autor) FEUP

Ata de Conferência Internacional

Título: 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

Páginas: 534-537

36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

Chicago, IL, AUG 26-30, 2014

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00A-APZ

DOI: 10.1109/embc.2014.6943646

Abstract (EN): 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. In this paper we present a new cloud service model - Brain Imaging Application as a Service (BiAaaS) - and one of its implementation - Advanced Brain Imaging Lab (ABrIL) - in the form of an ubiquitous virtual desktop remote infrastructure that offers a set of neuroimaging computational services in an interactive neuroscientist-friendly graphical user interface (GUI). 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4