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Building Patient-Specific Physical and Physiological Computational Models from Medical Images

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Handbook of Biomedical Imaging

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Abstract

We describe a hierarchy of computational models of the human body operating at the geometrical, physical and physiological levels. Those models can be coupled with medical images which play a crucial role in the diagnosis, planning, control and follow-up of therapy. In this paper, we discuss the issue of building patient-specific physical and physiological models from macroscopic observations extracted from medical images. We illustrate the topic of model personalization with concrete examples in brain shift modeling, hepatic surgery simulation, cardiac and tumor growth modeling. We conclude this article with scientific perspectives.

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Notes

  1. 1.

    cf. CardioSense3D URL http://www-sop.inria.fr/CardioSense3D/

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Authors and Affiliations

  1. Inria, 2004 Route des Lucioles, Sophia Antipolis, 06600, France

    H. Delingette & N. Ayache

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  1. H. Delingette
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  2. N. Ayache
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Correspondence to H. Delingette .

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Editors and Affiliations

  1. Department of Applied Mathematics, École Centrale de Paris / INRIA Saclay, Île De France, Chatenay-Malabry, France

    Nikos Paragios

  2. Department of Biomedical Engineering, Diagnostic Radiology and Electrical Engineering, Yale University, New Haven, Connecticut, USA

    James Duncan

  3. INRIA Sophia Antipolis - Méditerranée, Sophia Antipolis Cedex, France

    Nicholas Ayache

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Delingette, H., Ayache, N. (2015). Building Patient-Specific Physical and Physiological Computational Models from Medical Images. In: Paragios, N., Duncan, J., Ayache, N. (eds) Handbook of Biomedical Imaging. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09749-7_9

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  • DOI: https://doi.org/10.1007/978-0-387-09749-7_9

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