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http://hdl.handle.net/10553/69951
Title: | Aorta centerline smoothing and registration using variational models | Authors: | Alvarez, Luis Santana-Cedrés, Daniel Tahoces, Pablo G. Carreira, José M. |
UNESCO Clasification: | 220990 Tratamiento digital. Imágenes | Keywords: | 3D Curve Registration 3D Curve Smoothing Aorta Centerline Variational Methods |
Issue Date: | 2019 | Publisher: | Springer | Project: | Nuevos Modelos Matemáticos Para la Segmentación y Clasificación en Imágenes | Journal: | Lecture Notes in Computer Science | Conference: | 7th International Conference on Scale Space and Variational Methods in Computer Vision, (SSVM 2019) | Abstract: | In this work we present an application of variational techniques to the smoothing and registration of aorta centerlines. We assume that a 3D segmentation of the aorta lumen and an initial estimation of the aorta centerline are available. The centerline smoothing technique aims to maximize the distance of the centerline to the boundary of the aorta lumen segmentation but keeping the curve smooth. The proposed registration technique computes a rigid transformation by minimizing the squared Euclidean distance between the points of the curves, using landmarks and taking into account that the curves can be of different lengths. We present a variety of experiments on synthetic and real scenarios in order to show the performance of the methods. | URI: | http://hdl.handle.net/10553/69951 | ISBN: | 978-3-030-22367-0 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-030-22368-7_35 | Source: | Scale Space and Variational Methods in Computer Vision. SSVM 2019. Lecture Notes in Computer Science, v. 11603 LNCS, p. 447-458 |
Appears in Collections: | Capítulo de libro |
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