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Multiscale modeling and imaging: the challenges of biocomplexity

Jacques Demongeot 1, * Johanne Bezy-Wendling Julian Mattes 1 Pascal Haigron Nicolas Glade 1 Jean-Louis Coatrieux *
* Corresponding author
1 TIMB
TIMC [2011-2015] - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 [2011-2015]
Abstract : Computational modeling and imaging in biology and medicine are gaining more and more interest with the discovery of in-depth structural and functional knowledge at all space and time scales (molecule to proteins, cells to organs and organisms). The recursion between description levels for highly dynamical, interacting and complex systems, i.e the integrative approach, is a very challenging topic where formal models, observational tools and experimental investigations have to be closely designed, coupled and confronted together. Imaging techniques play a major role in this interdisciplinary attempt to elucidate this biocomplexity: they convey relevant information about the underlying mechanisms, depict the conformations and anatomical topologies and draw the biophysical laws they may follow. Furthermore, the basic image analysis tools (from calibration to segmentation, motion estimation and registration up to pattern recognition) are generic enough to be of value whatever the objects under consideration. The same comments apply when Computer Graphics or Virtual Reality techniques are concerned. This paper will survey the recent contributions dealing with both models, imaging data and processing frames. Examples ranging over different scales, from macro to nano, will be given in order to enhance the mutual benefits and perspectives that can be expected from this coupling.
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https://www.hal.inserm.fr/inserm-00149851
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Submitted on : Sunday, November 9, 2008 - 8:08:07 PM
Last modification on : Friday, July 17, 2020 - 2:06:14 PM
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Jacques Demongeot, Johanne Bezy-Wendling, Julian Mattes, Pascal Haigron, Nicolas Glade, et al.. Multiscale modeling and imaging: the challenges of biocomplexity. Proceedings of the IEEE, Institute of Electrical and Electronics Engineers, 2003, 91 (10), pp.1723 - 1737. ⟨10.1109/JPROC.2003.817878⟩. ⟨inserm-00149851⟩

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