MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Multiscale Visualization Using Data Cubes
IEEE Transactions on Visualization and Computer Graphics
Focus-Based Clustering for Multi-Scale Visualization
IV '03 Proceedings of the Seventh International Conference on Information Visualization
The multimod application framework: A rapid application development tool for computer aided medicine
Computer Methods and Programs in Biomedicine
Multimod Data Manager: A tool for data fusion
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
Enabling the interactive display of large medical volume datasets by multiresolution bricking
The Journal of Supercomputing
New interactive visualisation of multiscale biomedical data
ACM SIGGRAPH 2012 Posters
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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.