Method for predicting human body thoracico-abdominal surface area respiratory movement in radiotherapy
A technology of surface area and breathing movement, applied in radiation therapy, X-ray/γ-ray/particle irradiation therapy, treatment, etc., can solve the problems of normal tissue damage, poor patient tolerance, low treatment efficiency, etc., to improve curative effect, Increased applicability and easy parameter optimization
Inactive Publication Date: 2018-06-15
HARBIN UNIV OF SCI & TECH
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The method provides a method for predicting the human body thoracico-abdominal surface area respiratory movement in radiotherapy, belonging to the field of tumor treatment and respiratory motion prediction. The prediction method with the respiratory motion prediction function adopts a dual-camera to collect respiration motion signal data, the collected data are preprocessed, and the obtained datais used as the input of a Gaussian process regression prediction algorithm. Then, a Gaussian process model is provided for predicting the regression problem. A proper regression model is constructedby utilizing the data, training and prediction are carried out, a kernel function is selected in the training process, and moreover, the hyper-parameter can be obtained and the feasibility of the algorithm is verified through an off-line simulation experiment. Finally, a quasi-periodic kernel function is selected, and hyper-parameters are solved by utilizing a conjugation gradient method, and themodel prediction on the respiratory movement data through a Gaussian process regression method. According to the method for predicting the human body thoracico-abdominal surface area respiratory movement in radiotherapy, the influence of the respiratory movement on the radiotherapy precision can be reduced.
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Technology Topic
Respiratory motionAbdominal surface +10
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