Multi-Field Medical Visualisation

This NWO-funded project is in cooperation with the Biomedical Image Analysis group of the TU Eindhoven. Our DTI Research is currently also performed within this project.

Description

In multi-field data sets, multiple numerical data values are represented at each of a large 3D array of data points. The data can be multiple scalar, vector, or tensor quantities, or any combination of these. An increasing number of acquisition and post-processing techniques used in medical imaging result in such datasets. Examples are multi-modal data sets (resulting from fusion of data from multiple imaging modalities), displacement fields, or diffusion tensor fields. For visualization of such data, new techniques are urgently needed that go beyond common single scalar field techniques such as volume visualization or iso-surfacing.

In physical simulations in areas such as fluid dynamics or structural analysis, multi-field data sets have been common for some time. A large number of techniques for analysis and visualization of vector and tensor fields is available, which can serve as an inspiration for medical applications. However, the application context is very different (subject matter, type of visualization problem, data sources), and the professional background and interests of clinical users are also very different. Therefore, applicability will not be straightforward. Also, presentation of complex data sets and simulation results should meet strong requirements of effectiveness for medical research and clinical application.

In this research project we will investigate interactive visualization techniques for medical multi-field data, by integrating knowledge from several fields within data visualisation, image analysis, and medicine. The participating groups can provide an excellent environment for this research, with the required combination of knowledge and experience, and with good cooperation with medical specialists from several disciplines.

Publications

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