Fast rigid registration in radiation therapy
Based on a stochastic mutual information type matching and RPROP as stochastic optimizer, an interactive image-based registration of a CT volume onto two 2D images provided by a megavoltage system is presented. The matching process is based on semi-automatic pre-segmentation, an approximate 2D-2D ma...
Guardado en:
| Autores principales: | , , , , , |
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| Formato: | Chapter/Article Conference Paper |
| Lenguaje: | inglés |
| Publicado: |
2006
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| In: |
Medicine meets virtual reality 14
Year: 2006, Pages: 404-406 |
| Acceso en línea: |
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| Notas de Autor: | Ulrich Müller, Jürgen Hesser, Cornelia Walter, Barbara Dobler, Frank Lohr, Frederik Wenz |
| Sumario: | Based on a stochastic mutual information type matching and RPROP as stochastic optimizer, an interactive image-based registration of a CT volume onto two 2D images provided by a megavoltage system is presented. The matching process is based on semi-automatic pre-segmentation, an approximate 2D-2D matching with precomputed virtual projections (DRRs) followed by an accurate 3D-2D matching step. Our sample-based approach requires only a fraction of computed DRRs for 3D-2D. A simultaneous computation of the DRR rays and their perturbations in 6 dimensions speeds up the rendering process by a factor of 6.8. The complete registration process takes 5.6 +/- 2.3 seconds on a 3 GHz Pentium IV PC, being the fastest non-parallel approach for this sort of application the authors are aware of. |
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| Notas: | Gesehen am 15.03.2022 |
| ISBN: | 1586035835 |