The MAGIC-5 Project aims at developing Computer Aided Detection (CAD) software for Medical Applications on distributed databases by means of a GRID Infrastructure Connection. The use of automatic systems for analyzing medical images is of paramount importance in the screening programs, due to the huge amount of data to check. Examples are: mammographies for breast cancer detection, Computed-Tomography (CT) images for lung cancer analysis, and the Positron Emission Tomography (PET) imaging for the early diagnosis of the Alzheimer disease. The need for acquiring and analyzing data stored in different locations requires a GRID approach of distributed computing system and associated data management. The GRID technologies allow remote image analysis and interactive online diagnosis, with a relevant reduction of the delays actually associated to the screening programs. From this point of view, the MAGIC-5 collaboration can be seen as a group of distributed users sharing their resources for implementing different Virtual Organizations (VO), each one aiming at developing screening programs, tele-training, tele-diagnosis and epidemiologic studies for a particular pathology.
Bellotti, R., Bagnasco, S., Bottigli, U., Castellano, M., Cataldo, R., Catanzariti, E., et al. (2004). The MAGIC-5 project: Medical applications on a grid infrastructure connection. In IEEE CONFERENCE RECORD - NUCLEAR SCIENCE SYMPOSIUM & MEDICAL IMAGING CONFERENCE. [altro titolo: MEDICAL IMAGING CONFERENCE.] E212979 - issn: 1082-3654 (attiva dal 1994) Collana (pp.1902-1906). New York : IEEE.
The MAGIC-5 project: Medical applications on a grid infrastructure connection
BOTTIGLI, UBALDO;DELOGU, PASQUALE;
2004-01-01
Abstract
The MAGIC-5 Project aims at developing Computer Aided Detection (CAD) software for Medical Applications on distributed databases by means of a GRID Infrastructure Connection. The use of automatic systems for analyzing medical images is of paramount importance in the screening programs, due to the huge amount of data to check. Examples are: mammographies for breast cancer detection, Computed-Tomography (CT) images for lung cancer analysis, and the Positron Emission Tomography (PET) imaging for the early diagnosis of the Alzheimer disease. The need for acquiring and analyzing data stored in different locations requires a GRID approach of distributed computing system and associated data management. The GRID technologies allow remote image analysis and interactive online diagnosis, with a relevant reduction of the delays actually associated to the screening programs. From this point of view, the MAGIC-5 collaboration can be seen as a group of distributed users sharing their resources for implementing different Virtual Organizations (VO), each one aiming at developing screening programs, tele-training, tele-diagnosis and epidemiologic studies for a particular pathology.
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https://hdl.handle.net/11365/1006358
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