1st Technology Summer Workshop of the ESMI- TOPIM TECH

Thanks for an inspiring first edition of TOPIM TECH on on "MULTIPARAMETRIC IMAGING", for the open-minded and fruitful discussions - for a great week in Chania, Crete!



Imaging modalities such as MRI, CT, PET, SPECT, US, optical and optoacoustic imaging that provide information on anatomy, physiology, metabolism, and molecular events have become indispensable tools in biomedical research fields such as oncology, neurology, immunology or cardiology.  The ability to study the intact organism under normal and pathological conditions using non-invasive imaging strategies is of high value for basic researchers, drug developers, and also facilitates clinical translation.

The complexity of a biological system can hardly be captured by assessing a single characteristic but rather requires the assessment of multiple tissue parameters providing complementary information. Correspondingly, multiparametric imaging solutions are becoming increasingly important. These advanced imaging procedures require multilevel synergies including

(i) hardware,

(ii) imaging protocols and workflows,

(iii) data acquisition and storage,

(iv) data analysis and (v) data interpretation.


TOPIM TECH 2016 specifically targeted the interdisciplinary field of modern Multimodality Imaging by bringing together engineers, physicists, computer scientists, bio-informaticians and biologists to define state-of-the-art instrumentation and methodology, to discuss current trends in contrast generation and showcase emerging applications that require or are catalyzed by multimodal imaging approaches.

Programme concept and Speakers

Look into the FINAL programme

  • MODUL 1: Introductory Lectures
  1. Setting the Stage: Fingerprints rather than individual biomarkers to characterize complex biological systems. (Markus Rudin, Zurich)
  2. How to meet the challenge - multimodal imaging strategies (Bernd Pichler, Tubingen)
  3. Imaging across scales - from cell to tissue organism (Sarah Bohndiek, Cambridge)
  4. Image reconstruction across modalities - data analysis and representation (Michael Unser, Lausanne)
  • MODUL 2: Multimodal imaging system / hybrid devices
  1. Multimodal MRI: Combining structural, functional, and metabolic information (Mathias Hoehn, Cologne)
  2. Acquisition of Multimodal imaging data &
  3. Hybrid PET/MRI/CT - technological aspects (Hans Wehrl, Tübingen & Christian Dullin, Göttingen)
  4. Multimodal Imaging using Optoacoustic Tomography (Vasilis Ntziachristos, Munich)
  5. Multimodal Aspects of Ultrafast Ultrasound Imaging (Jean Provost, Paris)
  6. Multimodal Probing of Cancer Invasion and Metastasis in Mice. (Peter Friedl, Nijmegen/Houston)
  7. Multimodal Mass Spectrometry Imaging Fusion – Hype or Hope?  (Jo Cappell, Masstricht)
  • MODUL 3: Data analysis - presentation and interpretation
  1. Contextual Image Analysis (Guenter Schmidt, Munich)
  2. Image-based modelling (Björn Menze, Munich)
  • MODUL 4: Big data and Machine Learning
  1. Machine Learning and Medical Computer Vision. (Björn Menze, Munich)
  2. Big Data (Vangelis Sakkalis, Heraklion)
  • MODUL 5: PRACTICAL WORK on the development of an analysis tool.
  • MODUL 6: your work presented in an interactive, outdoor poster session