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3D Statistical Shape Model Building Using Consistent Parameterization

Kirschner, Matthias and Wesarg, Stefan (2010):
3D Statistical Shape Model Building Using Consistent Parameterization.
In: Informatik aktuell, pp. 291-295, Springer, Berlin; Heidelberg; New York, Bildverarbeitung für die Medizin 2010, [Conference or Workshop Item]

Abstract

We propose a new correspondence optimisation algorithm for building 3D statistical shape models (SSMs) of genus-0 shapes. The main contribution of our work is the use of parameter space propagation to generate consistent spherical parameterisations of the training shapes. We present evaluation results for two data sets: A set of 30 liver shapes from different patients, and a set of 25 left ventricles covering the cardiac cycle of a single patient. Our evaluation shows that the use of parameter space propagation improves the robustness of correspondence optimisation algorithms and lead to fast convergence times.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Kirschner, Matthias and Wesarg, Stefan
Title: 3D Statistical Shape Model Building Using Consistent Parameterization
Language: English
Abstract:

We propose a new correspondence optimisation algorithm for building 3D statistical shape models (SSMs) of genus-0 shapes. The main contribution of our work is the use of parameter space propagation to generate consistent spherical parameterisations of the training shapes. We present evaluation results for two data sets: A set of 30 liver shapes from different patients, and a set of 25 left ventricles covering the cardiac cycle of a single patient. Our evaluation shows that the use of parameter space propagation improves the robustness of correspondence optimisation algorithms and lead to fast convergence times.

Series Name: Informatik aktuell
Publisher: Springer, Berlin; Heidelberg; New York
Uncontrolled Keywords: Forschungsgruppe Medical Computing (MECO), Point correspondence, Surface parameterization, Statistical shape models (SSM), Image segmentation, 3D Medical data
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Bildverarbeitung für die Medizin 2010
Date Deposited: 12 Nov 2018 11:16
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