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Dynamic photon painting

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/11127

Dynamic photon painting

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Title: Dynamic photon painting
Author: Chen, Zhe
Advisor(s): Luan, Shuang
Committee Member(s): Luan, Shuang
Cao, Daliang
Hecht, Adam
Department: University of New Mexico. Dept. of Computer Science
Subject(s): Dynamic Photon Painting
Radiosurgery
Dose falloff rate
isodose distribution
LC Subject(s): Radiosurgery--Quality control.
Photon beams--Therapeutic use.
Degree Level: Masters
Abstract: Photon-based radiosurgery is widely used for treating local and regional tumors. The key to improving the quality of radiosurgery is to increase the dose falloff rate from high dose regions inside the tumor to low dose regions of nearby healthy tissues and structures. Currently, most radiosurgeries rely on focusing a number of external radiation beams to create a sharp dose falloff. As the number of focused beams increases, the contributions from each beam will inevitably decrease, and hence an improved dose falloff will be obtained. However, with most radiosurgeries being delivered in a step-and-shoot manner, the number of external beams is limited to a few hundred. For example, Gamma Knife radiosurgery, which has long been a “gold standard” for radiosurgery, uses about two hundred beams. In this research, we investigated the use of Dynamic Photon Painting (DPP) to further increase dose falloff rate. The key idea of DPP is to treat a target by moving a beam source along a dynamic trajectory, where the speed, directions and even dose rate of the beam source change constantly during irradiation. A number of studies regarding DPP were carried out in this research. We found that DPP can create a dose gradient that rivals proton Bragg Peak and outperforms Gamma Knife radiosurgery. These promising results indicate that DPP has the potential to significantly improve current photon-based radiosurgery.
Graduation Date: July 2010
URI: http://hdl.handle.net/1928/11127

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