DocumentCode :
2945722
Title :
Respiration induced liver motion tracking control for high intensity focused ultrasound treatment
Author :
Teng, Kuo-Tai ; Chang, Kai-Hsiang ; Chen, Yung-Yaw ; Tsao, Tsu-Chin
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Univ. of California, Los Angeles, CA, USA
fYear :
2012
fDate :
11-14 July 2012
Firstpage :
57
Lastpage :
62
Abstract :
This paper investigates target tracking control for a high intensity focused ultrasound (HIFU) transducer to follow liver motion induced by respiratory cycles. Motivated by the apparent respiratory cycles repetitive control is first considered. Adaptive control, which employs recursive least squares adaptive filtering to minimize the tracking error, is also proposed. Adaptive feedfoward and feedback actions and their integration are formulated respectively. The target tracking performance of the repetitive control and adaptive control are evaluated by simulating the tracking of a measured data obtained from implanting a beacon in a pig´s liver. To relate the target tracking performance to thermal ablation effectiveness thermal dosage is calculated for a volume of interest based on the simulated target tracking error. Performance indices specifically defined for target tracking, but not the beam focusing under moving target, are defined to evaluate the effectiveness of the proposed control algorithms.
Keywords :
adaptive control; adaptive filters; biomedical ultrasonics; dosimetry; feedback; feedforward; integration; least squares approximations; liver; medical signal processing; minimisation; motion control; target tracking; ultrasonic imaging; ultrasonic transducers; adaptive feedforward; beacon; high intensity focused ultrasound transducer; high intensity focused ultrasound treatment; integration; pig liver; recursive least squares adaptive filtering; respiration induced liver motion tracking control; respiratory cycles; thermal ablation; thermal dosage; tracking error minimisation; Adaptive control; Liver; Target tracking; Transducers; Tumors; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
Conference_Location :
Kachsiung
ISSN :
2159-6247
Print_ISBN :
978-1-4673-2575-2
Type :
conf
DOI :
10.1109/AIM.2012.6266060
Filename :
6266060
Link To Document :
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