Abstract
Our goal is to provide a means of enabling minimally invasive therapy within the ascending aorta as a standard clinical procedure in case of aortic dissections. Exact knowledge of the inner and outer surface lengths of the ascending aorta (AA) is essential for producing patientspecific stent-grafts in order to avoid interference with any of the branch vessels connected to the AA. This contribution introduces a genuine approach to quantifying these key parameters. Furthermore, we employ an unique and precise result validation, namely by comparing the accuracy of the inner and outer curvature lengths, determined within a cadaveric CT dataset, with manual measurements performed by a vascular surgeon on the body donor’s excised aorta. Our validated scheme is also being applied under identical circumstances on three patient datasets in pursuance of assessing the variability pertaining to human aortic pathological morphology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wendt D, Thielmann M, Melzer A, et al. The past, present and future of minimally invasive therapy in endovascular interventions: a review and speculative outlook. Minim Invasive Ther Allied Technol. 2013;22(4):242–53.
Zimpfer D, Schima H, Czerny M, et al. Experimental stent-graft treatment of ascending aortic dissection. Ann Thorac Surg. 2008;85(2):470–3.
W¨orz S, von Tengg-Kobligk H, Henninger V, et al. 3D quantification of the aortic arch morphology in 3D CTA data for endovascular aortic repair. IEEE Trans Biomed Eng. 2010;57(10):2359–68.
Kaladji A, Spear R, Hertault A, et al. Centerline is not as accurate as outer curvature length to estimate thoracic endograft length. Eur J Vasc Endovasc Surg. 2013;46(1):82–6.
Morariu CA, Terheiden T, Dohle DS, et al. Graph-based and variational minimization of statistical cost functionals for 3D segmentation of aortic dissections. In: Pattern Recognit. Springer; p. 511–22.
Morariu CA, Dohle DS, Terheiden T, et al. Polar-based aortic segmentation in 3D CTA dissection data using a piecewise constant curvature model. Proc BVM. 2014; p. 390–5.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Morariu, C., Terheiden, T., Dohle, D., Tsagakis, K., Pauli, J. (2015). Enabling Endovascular Treatment of Type A Dissections. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_34
Download citation
DOI: https://doi.org/10.1007/978-3-662-46224-9_34
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-46223-2
Online ISBN: 978-3-662-46224-9
eBook Packages: Computer Science and Engineering (German Language)