A Grid based Medical Image Retrieval System using Alchemi

F. Maghraby, H. M. Faheem, M. Roushdy, M. Amoon

2013

Abstract

This paper proposes an approach to perform retrieval process on medical image databases by extracting semantic information from the dataset values of the DICOM (Digital Imaging and Communications in Medicine) format which produces a set of images relevant to the given query. Image retrieval in general has the goal to allow for the retrieval of similar images over very heterogeneous image collections to help the diagnostic process. With modern radiology, departments produce tens of thousands of images per day. It is apparent that infrastructures are required to treat this large amount of data. Grid technologies are among those approaches deployed to make computing power available to large-scale research projects. Often, the goal is to have a very large number of resources in various locations that can be shared for performing computationally intensive tasks. Grid computing has the potential to help computer science researchers in medical institutions to better use an existing infrastructure. It shows that particularly computationally–intensive tasks such as the extraction of features from large image databases can be performed much faster. Alchemi framework has been deployed in this paper to provide grid-based environment .Speeding up the retrieval process was one of the major achievements of this work.

References

  1. Camarasu, S. , Benoit-Cattin, H. , Montagnat, J., and Racoceanu, D., 2008,Content-Based Medical Image Indexing and Retrieval on Grids, First International Symposium on ICT for Health, Ateneo de Manila University, Manila, Philippines, Philippine J Info Tech.
  2. Dhivya, M., Ruba, K., 2012, Building Grid based Application for the Management of Medical Image Data using Alchemi, International Conference on Recent Trends in Computational Methods, Communication and Controls (ICON3C 2012) Proceedings published in International Journal of Computer Applications® (IJCA).
  3. Luther, A., Buyya, R., Ranjan, R., and Venugopal, S., 2005, Alchemi: A .NET-based Grid Computing Framework and its Integration into Global Grids, GRIDS Lab, Australia.
  4. Montagnat, J., Breton,V. and Magnin, I. , 2004,Medical image databases content-based queries partitioning on a grid, HealthGrid'04, Clermont- Ferrand.
  5. Montagnat, J. and al, e., 2004, Medical image contentbased queries using the Grid, Proceedings of the first European HealthGrid conference.
  6. Selvarani, A. G., and Annadurai, S., 2007,Medical Image Retrieval by Combining Low Level Features and DICOM Features, Conference on Computational Intelligence and Multimedia Applications,IEEE.
  7. Tweed, T. and Brunie, S., 2003, Medical Image Database on the Grid: Strategies for Data Distribution, HealthGrid'03, Lyon.
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Paper Citation


in Harvard Style

Maghraby F., M. Faheem H., Roushdy M. and Amoon M. (2013). A Grid based Medical Image Retrieval System using Alchemi . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 224-230. DOI: 10.5220/0004448202240230


in Bibtex Style

@conference{iceis13,
author={F. Maghraby and H. M. Faheem and M. Roushdy and M. Amoon},
title={A Grid based Medical Image Retrieval System using Alchemi},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={224-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004448202240230},
isbn={978-989-8565-59-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Grid based Medical Image Retrieval System using Alchemi
SN - 978-989-8565-59-4
AU - Maghraby F.
AU - M. Faheem H.
AU - Roushdy M.
AU - Amoon M.
PY - 2013
SP - 224
EP - 230
DO - 10.5220/0004448202240230