A New Method to Measure Structural Connectivity
In his doctoral dissertation defended on 31st July, 2014, Dogu Baran Aydogan has developed a new method to measure structural connectivity. Aydogan’s method offers a modern approach to interpret and quantify connectivity using tools from computational topology and graph theory. Currently, the standard measure for connectivity is based on Euler characteristics that was developed by the famous Swiss mathematician Leonhard Euler over 250 years ago.
The new method is applied to predict the ultimate mechanical strength of trabecular bones. The results which are published in the annual gathering of the MICCAI Society (2013) show that the new connectivity measure is the third most important determinant of bone strength. The technique is also recently applied to study flow in microstructures which is published in the Journal of the Royal Society Interface.
The code for the new method is publicly available and can be downloaded from https://github.com/baranaydogan/SimpleCTC
Aydogan’s dissertation can be found on http://dspace.cc.tut.fi/dpub/handle/123456789/22352
Aydogan’s method is pusblished in: Aydogan D.B. & Hyttinen J. “Contour tree connectivity of binary images from algebraic graph theory”, IEEE International Conference on Image Processing (ICIP), 15-22.09.2013, Melbourne, Australia.
The Pirkanmaa Hospital District’s Science Centre calls for applications on university level research projects dealing with health.
The application round begins on 6.6.2014 and ends on Fri 29.8.2014 (at 12.00). The directors of the organisations have to add the researchers’ research project applications to the application of the organisation, which has to be delivered to the research committee on 9.9.2014 the latest.
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