Distributed medical images analysis on a Grid infrastructure

6533b82bfe1ef96bd128d6e0

RESEARCH PRODUCT

Distributed medical images analysis on a Grid infrastructure

R Bellotti P Cerello S Tangaro V Bevilacqua M Castellano G Mastronardi F De Carlo S Bagnasco U Bottigli R Cataldo E Catanzariti Sc Cheran Pasquale Delogu I De Mitri G De Nunzio Maria Evelina Fantacci F Fauci G Gargano B Golosio Pl Indovina A Lauria E Lopez Torres R Magro Gl Masala R Massafra P Oliva Ap Martinez M Quarta G Raso Gl Masala R Massafra P Oliva Ap Martinez M Quarta G Raso A Retico M Sitta S Stumbo A Tata S Squarcia A Schenone E Molinari B. Canesi

subject

GRID; Virtual Organization; Medical Applications Computer Networks and Communications Computer science Virtual organization mammography ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION computer.software_genre GRID; virtual organization; CAD; mammography; medical applications Software Computer aided diagnosi medicine Mammography CAD Computer vision Grid Lung tumor Distributed database medicine.diagnostic_test medical applications business.industry Digital imaging Grid Digital imaging Hardware and Architecture Image analysi Artificial intelligence Data mining Alzheimer disease virtual organization GRID business computer Software Mammography

description

In this paper medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed. MAGIC-5 aims at developing Computer Aided Detection (CADe) software for the analysis of medical images on distributed databases by means of GRID Services. The use of automated systems for analyzing medical images improves radiologists’ performance; in addition, it could be of paramount importance in screening programs, due to the huge amount of data to check and the cost of related manpower. The need for acquiring and analyzing data stored in different locations requires the use of Grid Services for the management of distributed computing resources and data. Grid technologies allow remote image analysis and interactive online diagnosis, with a relevant reduction of the delays presently associated with the diagnosis in the screening programs. The MAGIC-5 project develops algorithms for the analysis of mammographies for breast cancer detection, Computed- Tomography (CT) images for lung cancer detection and Positron Emission Tomography (PET) images for the early diagnosis of Alzheimer Disease (AD). A Virtual Organization (VO) has been deployed, so that authorized users can share data and resources and implement the following use cases: screening, tele-training and tele-diagnosis for mammograms and lung CT scans, statistical diagnosis by comparison of candidates to a distributed data-set of negative PET scans for the diagnosis of the AD. A small-scale prototype of the required Grid functionality was already implemented for the analysis of digitized mammograms.

year	journal	country	edition	language
2007-03-01

10.1016/j.future.2006.07.006 http://hdl.handle.net/11588/102375