Title :
Using Neural Networks to Predict Breathing Motion
Author :
Murphy, Martin J.
Author_Institution :
Dept. of Radiat. Oncology, Virginia Commonwealth Univ., VA
Abstract :
This paper describes the use of neural networks for real-time spatial and temporal tracking of radiotherapy treatment sites during free breathing. These techniques will allow the reduction and possible elimination of dose-limiting motion margins in external-beam radiation delivery plans.
Keywords :
neural nets; radiation therapy; breathing motion prediction; dose-limiting motion margins; external-beam radiation delivery plans; free breathing; neural networks; radiotherapy treatment sites; real-time spatial tracking; temporal tracking; Error correction; Filters; Lung neoplasms; Medical treatment; Motion analysis; Motion control; Neural networks; Target tracking; Testing; Tracking loops; breathing motion; lung tumor motion; neural networks; radiotherapy;
Conference_Titel :
Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-0-7695-3495-4
DOI :
10.1109/ICMLA.2008.136
