Diplomarbeit, 2007
91 Seiten, Note: 1,0
This thesis explores the principles and methods of gated radiotherapy, which aims to minimize radiation exposure to healthy tissues during tumor treatment. The work focuses on the development and implementation of a novel image-based method for respiration-synchronized radiotherapy.
The key focus of this thesis is the development and application of an image-based method for gated radiotherapy, utilizing 4D-CT and image-guided methods to mitigate respiratory motion during tumor treatment. This approach is based on principles of medical image processing and aims to improve treatment accuracy and minimize healthy tissue exposure.
Gated Radiotherapy is a technique used to treat tumors in the chest and abdomen that move due to respiration. It ensures radiation is only delivered when the tumor is in a specific position (phase), sparing healthy tissue.
4D-CT captures the tumor's motion over time, allowing physicians to account for respiratory movement when defining the treatment area.
External monitoring uses surrogates like breathing belts or markers on the skin, while internal monitoring relies on implanted fiducial markers near the tumor to track motion directly.
The thesis introduces an image-guided algorithm that maps 4D-CT planning data to real-time fluoroscopic sequences, combining the advantages of different monitoring approaches.
The algorithm was integrated into a prototype developed at Siemens Corporate Research (SCR) in Princeton, USA.
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