DocumentCode :
2926871
Title :
Intelligent Approach to Robotic Respiratory Motion Compensation for Radiosurgery and other Interventions
Author :
Nguyen, Charles C. ; Cleary, Kevin
Author_Institution :
Catholic Univ. of America, Washington
fYear :
2006
fDate :
24-26 July 2006
Firstpage :
1
Lastpage :
6
Abstract :
Radiosurgery involves delivering a precise, high dose of radiation to diseased tissue. In radiosurgery for cancer treatment, the radiation dose must optimally fit the shape of the tumor while minimizing the destruction of normal tissue. One of the challenges in precision radiosurgery is treating tumors that move with respiration such as those in the lung and pancreas. Intelligent methods that employ fuzzy logic and neural networks have great potential for respiration compensation in medicine. This paper explores at the system level the application of intelligent approaches for radiosurgery, especially for respiration compensation. The CyberKnife radiosurgery system from Accuray Inc. is used as an example system to focus the discussion.
Keywords :
cancer; fuzzy logic; fuzzy neural nets; medical robotics; motion compensation; motion control; radiation therapy; tumours; CyberKnife radiosurgery system; cancer treatment; fuzzy logic; intelligent approach; neural networks; respiration compensation; robotic respiratory motion compensation; Biomedical imaging; Fuzzy logic; Intelligent robots; Lesions; Medical robotics; Motion compensation; Neoplasms; Robot control; Robot kinematics; Robot motion; Intelligent approach; fuzzy logic; lesion identification; moving target tracking; neural network; radiosurgery; robot motion control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
Type :
conf
DOI :
10.1109/WAC.2006.376055
Filename :
4259971
Link To Document :
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