Disocclusion-based 2D-3D registration for aortic interventions
Demirci S, Baust M, Kutter O, Manstad-Hulaas F, Eckstein HH, Navab N (2013)
Publication Type: Journal article
Publication year: 2013
Journal
Book Volume: 43
Pages Range: 312-322
Journal Issue: 4
DOI: 10.1016/j.compbiomed.2013.01.012
Abstract
Occlusions introduced by medical instruments affect the accuracy and robustness of existing intensity-based medical image registration algorithms. In this paper, we present disocclusion-based 2D-3D registration handling occlusion and dissimilarity during registration. Therefore, we introduce two disocclusion techniques, Spline Interpolation and Stent-editing, and two robust similarity measures, Huber and Tukey Gradient Correlation. Our techniques are validated on synthetic and real interventional data and compared with well-known approaches. Results prove that an integration of disocclusion into the registration procedure yield higher accuracy and robustness. It is also shown that the robust measures have different effects depending on the type of occluding structure. © 2013 Elsevier Ltd.
Involved external institutions
Technische Universität München (TUM)
Germany (DE)
NTNU Trondheim - Norwegian University of Science and Technology
Norway (NO)
Germany (DE)
NTNU Trondheim - Norwegian University of Science and Technology
Norway (NO)
How to cite
APA:
Demirci, S., Baust, M., Kutter, O., Manstad-Hulaas, F., Eckstein, H.-H., & Navab, N. (2013). Disocclusion-based 2D-3D registration for aortic interventions. Computers in Biology and Medicine, 43(4), 312-322. https://doi.org/10.1016/j.compbiomed.2013.01.012
MLA:
Demirci, Stefanie, et al. "Disocclusion-based 2D-3D registration for aortic interventions." Computers in Biology and Medicine 43.4 (2013): 312-322.
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