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18 - Asclepios: a research project team at INRIA for the analysis and simulation of biomedical images

Published online by Cambridge University Press:  06 August 2010

By
Nicholas Ayache ,
Oliver Clatz ,
Hervé Delingette ,
Grégoire Malandain ,
Xavier Pennec  and
Maxime Sermesant
Edited by
Yves Bertot ,
Gérard Huet ,
Jean-Jacques Lévy  and
Gordon Plotkin
Nicholas Ayache
Affiliation:
INRIA Sophia Antipolis Méditerranée
Oliver Clatz
Affiliation:
INRIA Sophia Antipolis Méditerranée
Hervé Delingette
Affiliation:
INRIA Sophia Antipolis Méditerranée
Grégoire Malandain
Affiliation:
INRIA Sophia Antipolis Méditerranée
Xavier Pennec
Affiliation:
INRIA Sophia Antipolis Méditerranée
Maxime Sermesant
Affiliation:
INRIA Sophia Antipolis Méditerranée
Yves Bertot
Affiliation:
INRIA-Sophia Antipolis, France
Gérard Huet
Affiliation:
Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt
Jean-Jacques Lévy
Affiliation:
Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt
Gordon Plotkin
Affiliation:
University of Edinburgh
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Summary

Abstract

Asclepios is the name of a research project team officially launched on November 1st, 2005 at INRIA Sophia-Antipolis, to study the Analysis and Simulation of Biological and Medical Images. This research project team follows a previous one, called Epidaure, initially dedicated to Medical Imaging and Robotics research. These two project teams were strongly supported by Gilles Kahn, who used to have regular scientific interactions with their members. More generally, Gilles Kahn had a unique vision of the growing importance of the interaction of the Information Technologies and Sciences with the Biological and Medical world. He was one of the originators of the creation of a specific BIO theme among the main INRIA research directions, which now regroups 16 different research teams including Asclepios, whose research objectives are described and illustrated in this article.

Introduction

The revolution of biomedical images and quantitative medicine

There is an irreversible evolution of medical practice toward more quantitative and personalized decision processes for prevention, diagnosis and therapy. This evolution is supported by a continually increasing number of biomedical devices providing in vivo measurements of structures and processes inside the human body, at scales varying from the organ to the cellular and even molecular level. Among all these measurements, biomedical images of various forms increasingly play a central role.

Facing the need for more quantitative and personalized medicine based on larger and more complex sets of measurements, there is a crucial need for developing: (1) advanced image analysis tools capable of extracting the pertinent information from biomedical images and signals; (2) advanced models of the human body to correctly interpret this information; (3) large distributed databases to calibrate and validate these models.

Type
Chapter
Information
From Semantics to Computer Science
Essays in Honour of Gilles Kahn
 , pp. 415 - 436
Publisher: Cambridge University Press
Print publication year: 2009

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