Abstract
A new system is described that can track tumors moving due to respiratory motion, enabling specific and more effective irradiation of the tumor. This spares healthy tissue, and allows for higher doses to treat the tumor. To reach this goal a 3D motion picture of the lung of the specific patient has to be computed before treatment, because of the need to infer the respiratory state. This is done in a 4D registration step, matching 2D radiographs with the computed synthetic 3D scans. Morphing methods to calculate the deformation of the lung are described and evaluated.
| Original language | English |
|---|---|
| Title of host publication | Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004 |
| Editors | Christian Barillot, David R. Haynor, Pierre Hellier |
| Number of pages | 8 |
| Volume | 3217 |
| Place of Publication | Berlin, Heidelberg |
| Publisher | Springer Berlin Heidelberg |
| Publication date | 2004 |
| Pages | 925-932 |
| ISBN (Print) | 978-3-540-22977-3 |
| ISBN (Electronic) | 978-3-540-30136-3 |
| DOIs | |
| Publication status | Published - 2004 |
| Event | 7th International Conference on Medical Image Computing and Computer-Assisted Intervention - Saint-Malo, France Duration: 26.09.2004 → 29.09.2004 Conference number: 64990 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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