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BIOMIST : BIO Medical research Imaging SemanTic data management 

ANR CONTINT 2013 - n° ANR-13-CORD-0007 


 


Context :

With the GIN research team BIOMIST will focus on the neuro-functional imaging field. Besides the images (2D, 3D, 4D), BIOMIST will manage every type of data required such as demographic data, behavioral test results and as a new topic in this field: genetic information.

A special focus will be on both intra and inter subject analysis definition and results with respect to the material used for scientific publications.


The aim :

BIOMIST will aim to manage not only documents but, more significantly, the specific concepts used in neuro-functional analysis such as cognitive stimulation paradigms, processing tasks, behavioral test definitionsetc. and all the semantic relationships that may exist between them.


The propositions :

BIOMIST provides methodologies and tools to manage the growing amount, complexity and provenance of BMI data and to consider, not only the data, but also their usage, their different representation and their interpretation in the context of neuro-functional research.


How:

  • Product Lifecycle Management (PLM) solutions wil be used, it's  a proved foundation used in traditional engineering to answer the basic requirements for BMI data management ,
  • Knowledge Management (KM) techniques will be used to enhance reuse and traceability in the usage of BMI data in a complex and changeable environment.
  • Visualization and analysis tools will be provided, it enables users to make hypothesis, intuitively discover and compare patterns, and isolate structure singularities in graph representation of data that could be used for semantic relationships or brain connectivity graphs (a specific neuro-functional representation).

The results :

A working prototype deployed, validated and used by the GIN team. The technology transfers between academic partners and Cadesis during the project are expected to lead to exploitable results such as the availability of a BioMedical Imaging module for PLM solutions, the enhancement of Knowledge-based reuse methodologies and the development of graph visualization tools and algorithms that could be applied to a wide range of domains.


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