Name
Abstract | ||
|---|---|---|
Among other options, radiotherapy plays an increasing role for the treatment of lung cancer. This has raised the need for strate- gies to compensate for respiratory motion of the target. Sophisticated techniques such as tracking of the tumour position have become feasi- ble. However, calculations for adequate dose delivery to moving targets with maximum preservation of healthy tissue require understanding the principle of soft tissue deformation In this paper, we introduce a new approach using non-linear flnite element method to simulate lung tissue displacement during respiration. The geometric non-linearity and the material non-linearity were applied. The respiration movement was re- garded as steady gradual process with equal velocity, and was simulated statically. Boundary condition was set on lung's surface, and the defor- mation of whole volume could be calculated. Simulation of diaphragm breathing was compared with 4DCT of ventilated porcine lung inside a chest phantom. The average difierence of internal point movement was 3 mm vertically. Our vision is to integrate the concept of FEM simulation of respiratory motion into motion adapted radiotherapy planning. Among other options, radiotherapy plays an increasing role for its treatment. The key strategy of radiotherapy is to maximize local dose at the target, while at the same time minimizing damage to adjacent normal tissue. The easiest approach to account for target movement with respiration is to deflne larger planning target which covers the malignant lesion at any point of its course dur- ing the respiratory cycle. Meanwhile, techniques for gated irradiation at certain positions or for tracking the tumour during the respiratory cycle should prin- cipally allow for smaller planning target volumes. To understand the principle reason of soft tissue deformation due to external force has become a key for defln- ing planning target volumes for motion-adapted radiation. Over the last three decades the biomechanism of soft tissue has been thoroughly investigated. Based on theoretical knowledge and recent technique of CT, MRI, biomedical simula- tion has been widely used in surgical planning system, functional assessment of organ (e.g. heart) or molecular biological simulation. However, less work has been done to simulate lung movement. The objective of this work is to introduce a new approach of flnite element simulation to describe lung tissue deformation and to integrate it in radiotherapy planning. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-71091-2_71 | Bildverarbeitung für die Medizin |
Keywords | Field | DocType |
boundary condition,soft tissue,functional assessment | Boundary value problem,Simulation,Respiratory motion,Finite element simulation,Imaging phantom,Finite element method,Acoustics,Deformation (mechanics),Engineering,Soft tissue deformation | Conference |
Citations | PageRank | References |
1 | 0.35 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pan Li | 1 | 2 | 2.74 |
| Gregor Remmert | 2 | 1 | 0.35 |
| Jürgen Biederer | 3 | 1 | 0.35 |
| Rolf Bendl | 4 | 45 | 11.54 |