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Proceedings Paper

Non-rigid point set registration of curves: registration of the superficial vessel centerlines of the brain
Author(s): Filipe M. M. Marreiros; Chunliang Wang; Sandro Rossitti; Örjan Smedby
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Paper Abstract

In this study we present a non-rigid point set registration for 3D curves (composed by 3D set of points). The method was evaluated in the task of registration of 3D superficial vessels of the brain where it was used to match vessel centerline points. It consists of a combination of the Coherent Point Drift (CPD) and the Thin-Plate Spline (TPS) semilandmarks. The CPD is used to perform the initial matching of centerline 3D points, while the semilandmark method iteratively relaxes/slides the points.

For the evaluation, a Magnetic Resonance Angiography (MRA) dataset was used. Deformations were applied to the extracted vessels centerlines to simulate brain bulging and sinking, using a TPS deformation where a few control points were manipulated to obtain the desired transformation (T1). Once the correspondences are known, the corresponding points are used to define a new TPS deformation(T2). The errors are measured in the deformed space, by transforming the original points using T1 and T2 and measuring the distance between them. To simulate cases where the deformed vessel data is incomplete, parts of the reference vessels were cut and then deformed. Furthermore, anisotropic normally distributed noise was added.

The results show that the error estimates (root mean square error and mean error) are below 1 mm, even in the presence of noise and incomplete data.

Paper Details

Date Published: 18 March 2016
PDF: 8 pages
Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 978611 (18 March 2016); doi: 10.1117/12.2208421
Show Author Affiliations
Filipe M. M. Marreiros, Ctr. for Medical Image Science and Visualization (Sweden)
Linköping Univ. (Sweden)
Chunliang Wang, Ctr. for Medical Image Science and Visualization, Linköping Univ. (Sweden)
Royal Institute of Technology, School of Technology and Health (Sweden)
Sandro Rossitti, County Council of Östergötland (Sweden)
Örjan Smedby, Ctr. for Medical Image Science and Visualization (Sweden)
Linköping Univ. (Sweden)
Royal Institute of Technology, School of Technology and Health (Sweden)


Published in SPIE Proceedings Vol. 9786:
Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

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