PhD defence Jacob Daniel Kirstejn Hansen

Segmentation of Brains and Rocks from Tomographic Reconstructions

Time: 19 March 2019 at 13.15

Place: Auditorium 05, HCØ, Universitetsparken 5, 2100 Kbh Ø

Segmentation is an indispensable initial step in image analysis and computer vision. New advanced scanners and large scale imaging facilities have spiked the interest of researchers across fields to investigate the internal structures of objects in a noninvasive manner. However, with new machines come new artefacts and challenges that need to be addressed before subsequent analysis can be conducted.

This thesis presents six novel variational methods for the recovery of segments in tomographic reconstructions. Two primary types of volumetric datasets are used as target application; porous chalk rocks, from X-ray computerised microtomography (X-ray μCT) and rat cranial scans, acquired through magnetic resonance imaging (MRI). Several types of artefacts are addressed, with an emphasis on bias fieldsthat corrupts both acquisition modalities.

Assessment committee
Professor Jon Sporring, Department of Computer Science, University of Copenhagen (Head of committee) 
Research Director, Charles Kervrann, National Institute for Research in Computer Science, INRIAFrance 
Associate professor Vedrana Andersen Dahl, Technical University of Denmark- DTU Compute  

Associate professor, Francois Bernard Lauze, Department of Computer Science, University of Copenhagen
Professor Mads Nielsen, Department of Computer Science, University of Copenhagen

For an electronic copy of the thesis, please contact