{"id":82750,"date":"2019-03-05T16:23:59","date_gmt":"2019-03-05T15:23:59","guid":{"rendered":"https:\/\/uniavisen.dk\/event\/ph-d-forsvar-af-jacob-daniel-kirstejn-hansen-datalogisk-institut-ku\/"},"modified":"2019-03-05T16:23:59","modified_gmt":"2019-03-05T15:23:59","slug":"ph-d-forsvar-af-jacob-daniel-kirstejn-hansen-datalogisk-institut-ku","status":"publish","type":"event","link":"https:\/\/uniavisen.dk\/en\/event\/ph-d-forsvar-af-jacob-daniel-kirstejn-hansen-datalogisk-institut-ku\/","title":{"rendered":"Ph.d. forsvar af Jacob Daniel Kirstejn Hansen, Datalogisk Institut, KU"},"content":{"rendered":"

Tirsdag den 19. marts vil Jacob Daniel Kirstejn Hansen forsvare sin ph.d. afhandling med titlen:\u00a0Segmentation of Brains and Rocks from\u00a0Tomographic Reconstructions p\u00e5 Datalogisk Institut.<\/p>\n

Abstract<\/strong>
\nSegmentation 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.<\/p>\n

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 \u03bcCT) 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.<\/p>\n

Assessment committee<\/strong>
\nProfessor Jon Sporring, Department of Computer Science, University of Copenhagen (Head of committee)
\nResearch Director, Charles Kervrann, National Institute for Research in Computer Science, INRIAFrance
\nAssociate professor Vedrana Andersen Dahl, Technical University of Denmark- DTU Compute<\/p>\n

Supervisors<\/strong>
\nAssociate professor, Francois Bernard Lauze,\u00a0Department of Computer Science, University of Copenhagen
\nProfessor Mads Nielsen, Department of Computer Science, University of Copenhagen<\/p>\n

For an electronic copy of the thesis, please contact\u00a0phdadmin@di.ku.dk<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Tirsdag den 19. marts vil Jacob Daniel Kirstejn Hansen forsvare sin ph.d. afhandling med titlen:\u00a0Segmentation of Brains and Rocks from\u00a0Tomographic Reconstructions p\u00e5 Datalogisk Institut. Abstract Segmentation is an indispensable initial step in image analysis and computer vision. 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