Abstract
Possible future endovascular repair of aortic Type A dissections, which always also involve the ascending aorta (AA), implies custom-designed stent-grafts for each patient. Extraction of morphological parameters such as aortic diameters from an accurately reconstructed aortic volume proves essential for accomplishing this goal. Our contribution introduces a novel approach to local surface and normal estimation via implicit models. Given a sparse set of randomly positioned and oriented contours in 3D, we adapt a multi-level partition of unity (MPU) method, rescinding the existing MPU-related restriction of having contours in parallel planes. Radii and diameter measurements are evaluated based on a ground truth aortic volume for 11 patient CTA datasets.
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Morariu, C., Dohle, D., Terheiden, T., Tsagakis, K., Pauli, J. (2015). Local Surface Estimation from Arbitrary 3D Contour Sets for Aortic Quantification. 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_65
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DOI: https://doi.org/10.1007/978-3-662-46224-9_65
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