Motion Tracking Based on Neural Network for Liver Tumor High Intensity Focused Ultrasound Thermal Therapy
Date Issued
2007
Date
2007
Author(s)
Li, Yue - Ru
DOI
zh-TW
Abstract
The purpose of this research is to build a tracking system and algorithm with high intensity focus ultrasound heating system to do liver thermal therapy. In this study, a CCD camera was used to simulate MRI medical image system, and to take series of image of a moving phantom driven by a programmed motor. The programmed motor was used to simulate liver motion affected by breathing. Then a neural-network algorithm was designed and trained to fit and predict the position of programmed motor and to control the tracking motor to track the phantom motion trajectory, liver motion. The predicted position information was sent to the tracking motor to drive an ultrasound phased array transducer to an appropriate position to deliver acoustic power to heat the target precisely. The ultrasound transducer is driven by a multi-channel power amplifier system. There will be some simulations and experimental results which illustrate that CCD guided focused ultrasound system was able to track the phantom motion and then to heat the target region to do the thermal therapy. The results indicated that when the tracking algorithm was applied on a MR imaging guided HIFU (High Intensity Focus ultrasound) heating system it was able to do a real time motion-tracking thermal therapy for liver tumors affected by the respiratory motion.
Subjects
海扶刀
熱治療
肝腫瘤
類神經網路
光學尺
HIFU
Thermal therapy
Liver tumors
Neural-network
Linear scale
Type
thesis
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