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.
Date: 10 - 15 July 2016
Venue: Mediterranean Agronomic Institute of Chania - MAICh
Alsyllio Agrokepio, 1 Makedonias str
Chania, Crete
All in all 29 posters were presented in the scope of the first edition of TOPIM TECH. Congratulations to Anikitos Garofalakis from Paris and Laszlo Papp from Vienna!
Anikitos presented a poster on "A Positron Emission Tomography registered Ultrafast Sonography prototype for preclinical in-vivo studies". Laszlo a poster dedicated to "Combined Genetic Algorithm and Simulated Annealing approach for automated feature selection of supervised machine learning evaluations".
THANKS to all poster presenters for sharing their research!
Sarah Bohndiek, Cambridge
Joanna Cappell, Maastricht
Christian Dullin, Göttingen
Peter Friedl, Nijmegen/Houston
Mathias Hoehn, Cologne
Paul Lecoq, Geneva
Björn Menze, Munich
Vasilis Ntziachristos, Munich
Jean Provost, Paris
Bernd Pichler, Tubingen
Markus Rudin, Zurich
Vangelis Sakkalis, Heraklion
Guenter Schmidt, Munich
Bertrand Tavitian, Paris
Michael Unser, Lausanne
Hans Wehrl, Tübingen
Sarah Bohndiek – Cambridge (Standing Committee)
Markus Rudin - Zurich (Standing Committee)
Giannis Zacharakis - Crete (Standing Committee)
Julia Mannheim - Tübingen (Standing Committee)
Vasilis Ntziachristos – Munich (Advisory Committee)
Bernd Pichler - Tübingen (Advisory Committee)
Kevin Brindle – Cambridge
Franco Garibaldi – Rome
Jan Bernd Hoevener – Freiburg
Paul Lecoq – Geneva
Wiro Niessen - Rotterdam
Jorge Ripoll – Madrid
Mickael Tanter - Paris
THANKS for your initiative!