Image descriptors in angiography

Katharina Hofschen, Timo Geissler, Nicola Rieke, Christian Schulte zu Berge, Nassir Navab, Stefanie Demirci

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Despite recent advances in the field of image-guided interventions (IGI), the bottleneck for Angiography/X-ray guided procedures in particular is accurate and robust 2D-3D image alignment. The conventional, straight-forward parameter optimization approach is known to be ill-posed and less efficient. Retrieval-based approaches may be of superior choice here. However, this requires salient and robust image features, which can handle the difficulties of Angiographic images such as high level of noise and contrast variance. In this paper, we investigate state-of-the-art features of the field of computer vision regarding the applicability and reliability in the challenging scenario of Angiography.

Original languageEnglish
Title of host publicationBildverarbeitung fur die Medizin 2016
Subtitle of host publicationAlgorithmen – Systeme – Anwendungen - Proceedings des Workshops
EditorsThomas M. Deserno, Heinz Handels, Thomas Tolxdorff, Hans-Peter Meinzer
PublisherKluwer Academic Publishers
Number of pages6
ISBN (Print)9783662494646
StatePublished - 2017
EventWorkshops on Image processing for the medicine, 2016 - Berlin, Germany
Duration: 13 Mar 201615 Mar 2016

Publication series

NameInformatik aktuell
ISSN (Print)1431-472X


ConferenceWorkshops on Image processing for the medicine, 2016


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