Kirschner, Matthias ; Wesarg, Stefan (2010)
3D Statistical Shape Model Building Using Consistent Parameterization.
Bildverarbeitung für die Medizin 2010.
Conference or Workshop Item, Bibliographie
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 ; Wesarg, Stefan |
| Type of entry: | Bibliographie |
| Title: | 3D Statistical Shape Model Building Using Consistent Parameterization |
| Language: | English |
| Date: | 2010 |
| Publisher: | Springer, Berlin; Heidelberg; New York |
| Series: | Informatik aktuell |
| Event Title: | Bildverarbeitung für die Medizin 2010 |
| 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. |
| 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 |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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