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
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