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Distributed Systems

Distributed medical images analysis on a Grid infrastructure

Profile image of Sorin CheranSorin Cheran

2007, Future Generation Computer Systems

https://doi.org/10.1016/J.FUTURE.2006.07.006
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Abstract

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.

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References (29)

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  29. Sabina Tangaro was born in 1972. She received Laurea degree in Physics from University of Pisa (Italy) and Ph.D. in Physics from University of Bari (Italy). Currently she is researcher at National Institute of Nuclear Physics, sez. of Bari. Previously, she has been research fellow at Italian National Council of Researches and Post Doctoral Researcher at University of Bari. Dr Tangaro's research interests include many topics on Image Processing, Computer Vision and Pattern Recognition, Machine Learning, with application in Medicine and on Medical Imaging. In these fields, she authored highquality scientific papers in international journals. Marcello Castellano was born in 1961. He received "Laurea cum Laude" in Computer Science in 1985 from University of Bari (Italy). Currently he is Assistante Professor at the Department of Electrical and Electronic Engineering of the Polytechnic of Bari, Italy. Previously, he has been staff member researcher at National Institute of Nuclear Physics, and computer specialist at Italian National Council of Researches. He received a scientific associate contract from Center European of Nuclear Researcher and Visiting Researcher at New Mexico State University and Gran Sasso International Laboratory (Italy). He serves as reviewer in several scientific international journals and conferences. Dr Castellano's main research interests are in machine learning, data analysis and mining. In these fields, he authored high-quality scientific papers in international journals.

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