Research Projects
Medical Augmented Reality
Based on real-time 3D reconstruction provided by KinectFusion, we have built a Medical Augmented Reality system which allows instant, in-situ visualization of medical data (e.g. CT or MRI scans). The image data is overlaid on the actual physical anatomy of the patient, and thus, augments the view of the surgeon. We believe this system could be useful during interventions for surgical path planning and navigation. More details about this project will follow soon.
Automatic Vertebrae Localization
In collaboration with the University of Washington, we are developing a system for automatic vertebrae localization and identification in arbitrary field-of-view CT scans. The extracted information about the spinal anatomy yields a patient-specific coordinate system which becomes beneficial for many subsequent analysis tasks such as registration, segmentation, shape and disease modelling.
Clinical Collaborator:
David R. Haynor
University of Washington
Brain Tumor Segmentation
In collaboration with the Addenbrooke's Hospital in Cambridge, we are developing automatic and semi-automatic tissue-specific segmentation methods for brain tumor MR images. These methods allow for accurate quantification of individual tumor compartments which is important for the assessment of treatment response and disease progression.
Clinical Collaborators:
Raj Jena, Stephen Price
Owen Thomas, Tilak Das
Cambridge University Hospitals
2013
- DongHye Ye, Darko Zikic, Ben Glocker, Antonio Criminisi, and Ender Konukoglu, Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization, in MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Springer, September 2013
- Ben Glocker, Darko Zikic, Ender Konukoglu, David R. Haynor, and Antonio Criminisi, Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations, in MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Springer, September 2013
- Juan Eugenio Iglesias, Ender Konukoglu, Darko Zikic, Ben Glocker, Koen Van Leemput, and Bruce Fischl, Is Synthesizing MRI Contrast Useful for Inter-Modality Analysis?, in MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Springer, September 2013
- Darko Zikic, Ben Glocker, and Antonio Criminisi, Atlas Encoding by Randomized Forests for Efficient Label Propagation, in MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Springer, September 2013
- Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, and Andrew Fitzgibbon, Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images, in Proc. Computer Vision and Pattern Recognition (CVPR), IEEE, June 2013
- Hauke Heibel, Ben Glocker, Martin Groher, Markus Pfister, and Nassir Navab, Interventional Tool Tracking using Discrete Optimization, in Transactions on Medical Imaging (TMI), IEEE, March 2013
- A. Criminisi, D. Robertson, O. Pauly, B. Glocker, E. Konukoglu, J. Shotton, D. Mateus, A. Martinez Möller, S.G. Nekolla, and N. Navab, Anatomy Detection and Localization in 3D Medical Images, in Decision Forests for Computer Vision and Medical Image Analysis, Springer, 2013
- Ender Konukoglu, Ben Glocker, Antonio Criminisi, and Kilian M. Pohl, WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity, in Transactions Pattern Analysis and Machine Intelligence (PAMI), IEEE, 2013
- Ender Konukoglu, Ben Glocker, Darko Zikic, and Antonio Criminisi, Neighbourhood Approximation using Randomized Forests, in Medical Image Analysis, Elsevier, 2013
- E. Geremia, D. Zikic, O. Clatz, B.H. Menze, B. Glocker, E. Konukoglu, J. Shotton, O.M. Thomas, S.J. Price, T. Das, R. Jena, N. Ayache, and A. Criminisi, Classification Forests for Semantic Segmentation of Brain Lesions in Multi-Channel MRI, in Decision Forests for Computer Vision and Medical Image Analysis, Springer, 2013
2012
- Ender Konukoglu, Ben Glocker, DongHye Ye, Antonio Criminisi, and Kilian M. Pohl, Discriminative Segmentation-based Evaluation through Shape Dissimilarity, in Transactions on Medical Imaging (TMI), IEEE, December 2012
- D. Zikic, B. Glocker, E. Konukoglu, A. Criminisi, J. Shotton, C. Demiralp, O. Thomas, T. Das, R. Jena, and S. Price, Decision Forests for Tissue-specific Segmentation of High-grade Gliomas in Multi-channel MR, in MICCAI - 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Springer, October 2012
- Ender Konukoglu, Ben Glocker, Darko Zikic, and Antonio Criminisi, Neighbourhood Approximation Forests, in MICCAI - 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Springer, October 2012
- Ben Glocker, Johannes Feulner, Antonio Criminisi, David R. Haynor, and Ender Konukoglu, Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans, in MICCAI - 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Springer, October 2012
- Ben Glocker, Olivier Pauly, Ender Konukoglu, and Antonio Criminisi, Joint Classification-Regression Forests for Spatially Structured Multi-Object Segmentation, in ECCV - 12th European Conference on Computer Vision, Springer, October 2012
- D. Zikic, B. Glocker, E. Konukoglu, J. Shotton, A. Criminisi, D. Ye, C. Demiralp, O. M. Thomas, T. Das, R. Jena, and S. J. Price, Context-sensitive Classification Forests for Segmentation of Brain Tumor Tissues, in MICCAI 2012 Challenge on Multimodal Brain Tumor Segmentation, October 2012
- Marco Feuerstein, Ben Glocker, Takayuki Kitasaka, Yoshihiko Nakamura, Shingo Iwano, and Kensaku Mori, Mediastinal Atlas Creation from 3-D Chest Computed Tomography Images: Application to Automated Detection and Station Mapping of Lymph Nodes, in Medical Image Analysis (MedIA), Elsevier, January 2012
2011
- O. Pauly, B. Glocker, A. Criminisi, D. Mateus, A. Martinez Moller, S. Nekolla, and N. Navab, Fast Multiple Organs Detection and Localization in Whole-Body MR Dixon Sequences, in MICCAI - 14th International Conference on Medical Image Computing and Computer Assisted Intervention, September 2011
- Ben Glocker, Aristeidis Sotiras, Nikos Komodakis, and Nikos Paragios, Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods, in Annual Reviews of Biomedical Engineering, August 2011
For other publications please visit my website at TUM.