Multimodal fusion of biomedical data at different temporal and dimensional scales

  • Authors:
  • Marco Viceconti;Gordon Clapworthy;Debora Testi;Fulvia Taddei;Nigel McFarlane

  • Affiliations:
  • Laboratorio di Tecnologia Medica, Istituto Ortopedico Rizzoli, Italy and BioComputing Competence Centre, SCS, Italy;Centre for Computer Graphics & Visualisation, University of Bedfordshire, UK;BioComputing Competence Centre, SCS, Italy;Laboratorio di Tecnologia Medica, Istituto Ortopedico Rizzoli, Italy;Centre for Computer Graphics & Visualisation, University of Bedfordshire, UK

  • Venue:
  • Computer Methods and Programs in Biomedicine
  • Year:
  • 2011

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Abstract

The introduction of integrative approaches to biomedical research (integrative biology, physiome, Virtual Physiological Human, etc.) poses original problems to computer aided medicine: the need to operate with large amounts of data that are strongly heterogeneous in structure, format and even in the knowledge domain that generated them; the need to integrate all of these data into a coherent whole; the further complication imposed by the fact that more and more frequently these data are captured at very different dimensional and/or temporal scales. The present study describes a first attempt at providing an interactive visualisation environment for homogeneous biomedical data defined over radically different spatial or temporal scales. In particular, we describe new strategies for the management of the dimensional information of highly heterogeneous data types; the management of temporal multiscaling; for 3D unstructured spatial multiscale visualisation and the related interaction paradigms and user interface. Preliminary results with a prototype implementation based on the OpenMAF application framework (http://www.openmaf.org) indicate that it is possible to develop effective environments for interactive visualisation of multiscale biomedical data.