Speaker
P. Cerello
(INFN Torino)
Description
Breast cancer screening programs require managing and accessing a
huge amount of data, intrinsically distributed, as they are collected
in different Hospitals. The development of an application based on
Computer Assisted Detection algorithms for the analysis of digitised
mammograms in a distributed environment is a typical GRID use case.
In particular, AliEn (ALICE Environment) services, whose development
was carried on by the ALICE Collaboration, were used to configure a
dedicated Virtual Organisation; a PERL-based interface to AliEn
commands allows the registration of new patients and mammograms in
the AliEn Data Catalogue as well as queries to retrieve images
associated to selected patients. The analysis of selected mammograms
can be performed interactively, making use of PROOF services, or
taking advantage of the AliEn capabilities to generate "sub-jobs";
each of them analyzes the fraction of the selected sample stored on a
site, and the results are merged. All the required functionality is
available: by the end of 2004 a working prototype is foreseen, with
an AliEn Client installed in each of the Hospitals participating to
the INFN-funded MAGIC-5 project.
The same approach will be applied in the near future in two other
application areas:
- Lung cancer screening, equivalent to the mammographic screening
from the middleware point of view, where Computer Assisted Detection
algorithms are being developed;
- Diagnosis of the Alzheimer disease, where the application is
intrinsically distributed: it should, in fact, compare the PET-
generated image to a set of reference images which are scattered on
many sites and merge the results.
Primary authors
E. Lopez Torres
(CEADEN - Cuba)
F. Carminati
(CERN)
F. Rademakers
(CERN)
P. BUNCIC
(CERN)
P. Cerello
(INFN Torino)
P. Hristov
(CERN)
S. Bagnasco
(INFN Torino)
S. Cheran
(INFN Torino)
