Speaker
With a forward look to future evolution, discuss the issues you have encountered (or that you expect) in using the EGEE infrastructure. Wherever possible, point out the experience limitations (both in terms of existing services or missing functionality)
Our plan is to develop a web portal to remotely access tools
developped in the
context of the CAVIAR Project
- to conduct first tests on clinical data
- to evaluate the feasibility of massive experimental data processing
It is essential however to be able to execute MPI based parallel
programs which would
require the development of specific node/cluster selection
mechanisms.
Describe the scientific/technical community and the scientific/technical activity using (planning to use) the EGEE infrastructure. A high-level description is needed (neither a detailed specialist report nor a list of references).
The progress of image acquisition devices makes possible to
better explore the
dynamics of moving organs such as the heart. The CAVIAR project
objective is to
exploit the huge computing power of grid architectures in time
consuming
cardio-vascular 4D image analysis applications (huge amount of
data typically around
0.5GB per patient and per examination) such as cardio-vascular
3D+time structure
segmentation and motion tracking.
Describe the added value of the Grid for the scientific/technical activity you (plan to) do on the Grid. This should include the scale of the activity and of the potential user community and the relevance for other scientific or business applications
Grid architectures offer the opportunity to run the image
analysis programs on large
sets of patient data, allowing for large scale inter-patient
cardio-vascular (CV)
studies and comparisons. The complex analysis programs can not be
run on standard PC
architectures with the great amount of data and require high
computing power.
Developments using grids can thus help for :
- construction of CV atlases for normal and patholohical cases
- analysis of patient specific data with prior atlases and
providing faster diagnostic
results
- epidemiologic studies on populations suffering from CV
pathologies, still one of
the leading cause of mortality in Europe.
Such a principle can be envisaged in other applications involving
image analysis tasks like in image sequence indexing and
retrieval or geopraphical
and satellite image analysis.
Report on the experience (or the proposed activity). It would be very important to mention key services which are essential for the success of your activity on the EGEE infrastructure.
Parallel versions of spatio-temporal motion estimation and
segmentation methods from
Magnetic Resonance Image sequences have been developped
(multithreaded and MPI
versions) and first deployed on PC clusters. In a second step,
they are currently
ported on the EGEE grid.
Security and confidentiality of processed data must be insured.
Also grid services should enable the parallel execution of
application softwares
through MPI, in particular when processing one specific case.
However the full
interest of the grid would be evident when processing several
cases in parallel.
