Bögel M, Hölter P, Redel T, Maier A, Hornegger J, Dörfler A (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2015-November
Pages Range: 2006-2009
Conference Proceedings Title: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Event location: Milan, ITA
ISBN: 9781424492718
DOI: 10.1109/EMBC.2015.7318779
Subarachnoid hemorrhage due to a ruptured cerebral aneurysm is still a devastating disease. Planning of endovascular aneurysm therapy is increasingly based on hemodynamic simulations necessitating reliable vessel segmentation and accurate assessment of vessel diameters. In this work, we propose a fully-automatic, locally adaptive, gradient-based thresholding algorithm. Our approach consists of two steps. First, we estimate the parameters of a global thresholding algorithm using an iterative process. Then, a locally adaptive version of the approach is applied using the estimated parameters. We evaluated both methods on 8 clinical 3D DSA cases. Additionally, we propose a way to select a reference segmentation based on 2D DSA measurements. For large vessels such as the internal carotid artery, our results show very high sensitivity (97.4%), precision (98.7%) and Dice-coefficient (98.0%) with our reference segmentation. Similar results (sensitivity: 95.7%, precision: 88.9% and Dice-coefficient: 90.7%) are achieved for smaller vessels of approximately 1mm diameter.
APA:
Bögel, M., Hölter, P., Redel, T., Maier, A., Hornegger, J., & Dörfler, A. (2015). A fully-automatic locally adaptive thresholding algorithm for blood vessel segmentation in 3D digital subtraction angiography. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 2006-2009). Milan, ITA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Bögel, Marco, et al. "A fully-automatic locally adaptive thresholding algorithm for blood vessel segmentation in 3D digital subtraction angiography." Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, ITA Institute of Electrical and Electronics Engineers Inc., 2015. 2006-2009.
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