Dr. rer. nat. Christian Schulte zu Berge Contact Alumni: Now with ImFusion GmbH Senior Software Engineer schultezb { a t } imfusion.de Personal Homepage: http://www.cszb.net Research Interests Visualization 2D, 3D, Multi-modal, Multi-parametric, Direct Volume Rendering Perception Colors, Depth, Pre-Attentive Perception GPU Programming OpenGL 4, GLSL

Dissertation

Real-time Processing for Advanced Ultrasound Visualization Abstract: The continuous advances in the field of medical imaging constantly provide clinicians with new technology promising to facilitate diagnosis, interventions and therapies and improve their outcome. Inherent with this progress is that the amount of available data, its resolution and quality is significantly increasing. However, such improvements are only of actual use if the data can be adequately presented to the clinician. Thus, visual computing in medicine is an important field of research. This thesis focuses on the development of such techniques specifically designed for medical ultrasound. At first, techniques for improved 2D B-mode ultrasound visualization are presented, where the observer is provided with interactive feedback on the uncertainty present in the image. A novel incremental solver scheme for the computation of ultrasound Confidence Maps allows for real-time estimation of per-pixel uncertainty information based on ultrasound signal attenuation. This information is then fused with the original B-mode images using three carefully chosen visualization schemes for both educational and clinical applications. The second part of this thesis then introduces an orientation-driven ultrasound compounding approach to create high-quality 3D ultrasound volumes. Finally, a novel classification concept in the form of point predicates is presented, which seamlessly integrates into the standard direct volume rendering pipeline. In conjunction with the proposed predicate histogram as intuitive user interface, this technique allows for much more meaningful visualization and facilitates the understanding of the data for the observer. Download: https://mediatum.ub.tum.de/node?id=1285497

Software

CAMPVis: A Game Engine-inspired Research Framework for Medical Imaging and Visualization Intra-operative visualization has become more and more an essential part of medical interventions and provides the surgeon with powerful support for his work. However, a potential deployment in the operation room yields various challenges for the developers. Therefore, companies usually offer highly specialized solutions with limited maintainability and extensibility As novel approach, the CAMPVis software framework implements a modern video game engine architecture to provide an infrastructure that can be used for both research purposes and end-user solutions. It is focused on real-time processing and fusion of multi-modal medical data and its visualization. The fusion of multiple modalities (such as CT, MRI, ultrasound, etc.) is the essential step to effectively improve and support the clinician's workflow. Furthermore, CAMPVis provides a library of various algorithms for preprocessing and visualization that can be used and combined in a straight-forward way. This boosts cooperation and synergy effects between different developers and the reusability of developed solutions.

Teaching

• 2012WiSe: Praktikum Project Management and Software Development for Medical Applications (10 ECTS credits)
• 2013WiSe: Praktikum Project Management and Software Development for Medical Applications (10 ECTS credits)
• 2014SoSe: Lecture Computer Aided Medical Procedures II (2+2 SWS, 5 ECTS Credits (Module IN2022))
• 2014SoSe: Praktikum Project Management and Software Development for Medical Applications (10 ECTS credits)
• 2014WiSe: Hauptseminar Medical AR, Visualization, and Simulation Environments (Hauptseminar, SWS: 2, ECTS: 4)
• 2015SoSe: Lecture Augmented Reality - Medical Augmented Reality (2+3 SWS, 6 ECTS Credits - IN2018)
• 2015WiSe: Praktikum Image Processing and Visualization using C++ (6 SWS, 10 ECTS Credits (IN0012, IN2106))

Publications and Awards

Open Access Note: Personal reprints of all first author publications can be downloaded from my website.

	VCBM 2018 Best Paper Award
	IPCAI 2014 Best Paper Award

2018
	C. Schulte-zu-Berge, M. Salehi, F. Bender, W. Wein Ultrasound Decompression for Large Field-of-View Reconstructions Eurographics Workshop on Visual Computing in Biology and Medicine 2018, Granada, Spain, September 2018 (bib)
2016
	Xiang Wang, S. Habert, C. Schulte-zu-Berge, P. Fallavollita, N. Navab Inverse visualization concept for RGB-D augmented C-arms Computers in Biology and Medicine (bib)
	K. Hofschen, T. Geissler, N. Rieke, C. Schulte-zu-Berge, N. Navab, S. Demirci Image Descriptors in Angiography Workshop Bildverarbeitung fuer die Medizin (BVM), March 13-15, 2016. (bib)
2015
	C. Schulte-zu-Berge, D. Declara, C. Hennersperger, M. Baust, N. Navab Real-time Uncertainty Visualization for B-Mode Ultrasound Proceedings Scientific Visualization 2015, Chicago IL, U.S.A, October 2015 (bib)
	C. Schulte-zu-Berge, J. Weiss, N. Navab Schematic Electrode Map for Navigation in Neuro Data Sets 5th Eurographics Workshop on Visual Computing in Biology and Medicine 2015, Chester, U.K., September 2015 (bib)
	O. Zettinig, A. Shah, C. Hennersperger, M. Eiber, C. Kroll, H. Kübler, T. Maurer, F. Milletari, J. Rackerseder, C. Schulte-zu-Berge, E. Storz, B. Frisch, N. Navab Multimodal Image-Guided Prostate Fusion Biopsy based on Automatic Deformable Registration International Journal of Computer Assisted Radiology and Surgery / 6th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona, June 2015. The original publication is available online at link.springer.com (bib)
2014
	C. Schulte-zu-Berge, M. Baust, A. Kapoor, N. Navab Predicate-based Focus-and-Context Visualization for 3D Ultrasound IEEE Transactions on Visualization and Computer Graphics (Proceedings Scientific Visualization 2014), Paris, France, November 2014 (bib)
	O. Zettinig, C. Hennersperger, C. Schulte-zu-Berge, M. Baust, N. Navab 3D Velocity Field and Flow Profile Reconstruction from Arbitrarily Sampled Doppler Ultrasound Data Proceedings of the 17th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Boston, USA, September 2014. The original publication is available online at link.springer.com (bib)
	A. Shah, O. Zettinig, T. Maurer, C. Precup, C. Schulte-zu-Berge, J. Weiss, B. Frisch, N. Navab An Open Source Multimodal Image-guided Prostate Biopsy Framework 3rd Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging (CLIP), 17th MICCAI, MIT, Boston, USA, September 2014. The original publication is available online at link.springer.com (bib)
	C. Schulte-zu-Berge, Artur Grunau, Hossain Mahmud, N. Navab CAMPVis - A Game Engine-inspired Research Framework for Medical Imaging and Visualization Technical Report 2014, Chair for Computer Aided Medical Procedures, Technische Universität München, Munich, Germany (bib)
	Xiang Wang, S. Demirci, C. Schulte-zu-Berge, P. Fallavollita, N. Navab Improved Interventional X-ray Appearance International Symposium on Mixed and Augmented Reality (ISMAR), 2014 (bib)
	C. Schulte-zu-Berge, A. Kapoor, N. Navab Orientation-Driven Ultrasound Compounding Using Uncertainty Information Proceedings of the 5th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Fukuoka, Japan, June 2014 (bib)
2011
	S. Diepenbrock, C. Schulte-zu-Berge, K. Hinrichs, L. Wachsmuth, C. Faber DTI Visualization Using the Voreen Framework ESMRMB 2011 Congress, October 2011, Leipzig, Germany (bib)