Department of Biomedical Engineering and Computational Science

Biomedical Image Processing

The research areas of the Biomedical Image Processing group include broad applications of image processing and analysis. The group develops methods for image segmentation, registration, post-processing, and tomography reconstruction. Lately studied medical image modalities include liver CT, pediatric skull CT, dental CT, brain MRI, and brain DT-MRI.

The largest ongoing (project kickoff in April 2013) research project entitled Go-Smart (Generic Open-end Simulation Environment for Minimally Invasive Cancer Treatment), where a methodology will be developed for simulating the outcome of minimally-invasive cancer treatments (MICT), including radiofrequency ablation, microwave ablation and cryoablation, for liver, kidney and lung tumors. The project involves medical and technical partners from Germany, Austria, The Netherlands, Finland and Ireland.

In the previous FP7 project IMPPACT, detailed liver segmentations were provided for constructing individual FEM models for simulating the RF ablation treatment of liver tumors. Smaller previous biomedical research projects include CRANIO, where methods were developed for analyzing pediatric skull CT images to assist in planning corrective craniosynostosis surgery. Previous interdisciplinary research projects include ARTEMIS-JHR, where tomography reconstruction software was developed for studying the integrity and activity of nuclear fuel in the context of the Jules Horowitz Reactor, as well as the EU FP7 project TELLUR, where FLIR thermal image processing and analysis were applied to car tire development.


  • IMPPACT-SNAP, a modified version of ITK-SNAP including a deformation tool for VTK surface meshes (the software is provided as is; for more information, see related publication)

Group members

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Publications and references (click to expand/contract)