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Medical image processing, FHNW School of Life Sciences

School of Life Sciences


  • Life Sciences
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  • Research in life sciences
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Research fields
teaser_medizinische-bildverarbeitung.png

Processing images of the human body for clinical purposes

Medical image processing, the analysis and visualisation of medical image data, uses mathematical and algorithmic principles to obtain qualitative and quantitative information from scan data.

Practical examples of our research include fully automated image segmentation of the knee joint using statistical models, acquisition and visualisation of liver vascular trees, measurement and classification of anatomical structures (cerebellum, nucleus dentatus) as well as the tracking of bacterial populations in image sequences.

Miniaturized navigation system for computer-aided surgery

Overcoming disadvantages of current systems
Institute
Institute for Medical Engineering and Medical Informatics
Research field
Computer aided surgery and Medical image processing

Ultrasound diagnostics

3D visualisation and research interfaces
Institute
Institute for Medical Engineering and Medical Informatics
Research field
Medical image processing, Computer aided surgery and Sensor systems for diagnosis and therapy

Contact

Erik Schkommodau

Prof. Dr. Erik Schkommodau

Head of Institute for Medical Engineering and Medical Informatics
Phone
+41 61 228 54 19
E-Mail
erik.schkommodau@fhnw.ch

School of
Life Sciences FHNW University of Applied Sciences and Arts Northwestern Switzerland

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