MIC - Institute of Mathematics and Image Computing
The Institute of Mathematics and Image Computing in tandem with Fraunhofer MEVIS provide mathematical methods and practical solutions for state-of-the-art problems in medical imaging. A primary goal is to bridge the gap between fundamental research and industrial development and to provide solutions that are mathematically waterproofed and thus simply work and simplify work.
Our activities range from education and training of highly qualified personnel, over fundamental and applied mathematical research to the development of numerically sound and efficient algorithms.
Research portfolio
Technology
- Image Registration
- Image Reconstruction
- Modeling and Simulation
- Numerical Analysis
- Partial Differential Equation
- Optimization
Application Areas
- Breast Care
- Cardio-Vascular Solutions
- Neuroimaging
- Clinic Trials
- Computer-Assisted Histology
- Lung Care
- Liver Diagnosis and Therapy
- Minimally Invasive Interventions
Key personel
- Jan Modersitzki
- Stefan Heldman
- Jan Lellmann
- Janine Olesch
- Nils Papenberg
Selected publications
- Modersitzki, J (2009): FAIR – Flexible Algorithms for Image Registration, SIAM
- König L, Derksen A, Hallmann M, and Papenberg N (2015) Parallel and Memory Efficient Multimodal Image Registration for Radiotherapy using Normalized Gradient Fields. IEEE ISBI, 2015
- Luca VD, Benz T, Kondo S, König L, Lübke D, Rothlübbers S, Somphone O, Allaire S, Bell M, Cifor A, Grozea C, Günther M, Jenne J, Kipshagen T, Kowarschik M, Navab, N, Rühaak J, Schwaab J, and Tanner C (2015) The 2014 liver ultrasound tracking benchmark. _Physics_ _in_ _Medicine_ _and_ _Biology_, 60(14):
- Burger M, Modersitzki J, Ruthotto L (2013) A hyperelastic regularization energy for image registration. SIAM 35(1):B132–B148
- Kappes JH, Andres B, Hamprecht FA, Schnörr C, Nowozin S, Batra D, Kim S, Kausler BX, Kröger T, Lellmann J, Komodakis J, Savchynskyy B, and Rother C (2015), A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. Int. J. Computer Vision
Contact
Jan Modersitzki
Institute of Mathematics and Computing
Maria-Goeppert-Str. 3
23562 Lübeck, Germany
jan.modersitzki@mic.uni-luebeck.de