Correlation Analysis of Liver Motion Estimation by Using Surrogated Signals
Date Issued
2009
Date
2009
Author(s)
Chang, Yu-Tang
Abstract
High Intensity Focused Ultrasound (HIFU) thermal therapy is regarded as one with great potential due to its non-invasion and low side-effect. In order to treat mobile tumors with periodic motions induced by respiration such as lung and liver tumor, the tumor positions have to be located precisely and transducer has to be driven to track mobile tumor. Some medical image system such as CT and MRI can locate liver position precisely. However, the frame rate of medical image system is not high enough to reach our controlling requirement. Our goal is building the correlation between liver motion and surrogated signals to locate liver tumor in real-time. In this study, the doctors and technicians from National Taiwan University Hospital will cooperate with us to conduct in vitro experiment for liver motion data acquisition and analysis. The relationship between liver motion and surrogated signals such as chest and abdomen motion is constructed. The ellipse model is proposed to solve the hysteresis. We also compare the influence of different breath mode and performance between single input and multiple inputs. Finally, the prediction model is expected to be constructed and estimating liver position in real-time.
Subjects
HIFU
liver tumor tracking
correlation
hysteresis
ellipse model
Type
thesis
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