Distributed processing of large BioMedical 3D images

Konstantinos Liakos, Albert Burger, Richard Baldock

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

1 Citation (Scopus)


The Human Genetics Unit (HGU) of the Medical Research Council (MRC) in Edinburgh has developed the Edinburgh Mouse Atlas, a spatial temporal framework to store and analyze biological data including 3D images that relate to mouse embryo development. The purpose of the system is the analysis and querying of complex spatial patterns in particular the patterns of gene activity during embryo development. The framework holds large 3D grey level images and is implemented in part as an object-oriented database. In this paper we propose a layered architecture, based on the mediator approach, for the design of a transparent, and scalable distributed system which can process objects that can exceed 1GB in size. The system's data are distributed and/or declustered, across a number of image servers and are processed by specialized mediators. © Springer-Verlag Berlin Heidelberg 2005.

Original languageEnglish
Title of host publicationHigh Performance Computing for Computational Science - VECPAR 2004
Subtitle of host publication6th International Conference, Valencia, Spain, June 28-30, 2004, Revised Selected and Invited Papers
Number of pages14
ISBN (Electronic)978-3-540-31854-5
Publication statusPublished - 2005
Event6th International Conference - High Performance Computing for Computational Science - Valencia, Spain
Duration: 28 Jun 200430 Jun 2004

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference6th International Conference - High Performance Computing for Computational Science
Abbreviated titleVECPAR 2004


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