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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Problems solved by technology

[0003] At present, the conventional methods for dealing with respiratory movement in radiotherapy include: exercise inclusion method, compressed shallow breathing method, breath-holding method and respiratory gating method, etc.,

Method used

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  • Method for predicting human body thoracico-abdominal surface area respiratory movement in radiotherapy
  • Method for predicting human body thoracico-abdominal surface area respiratory movement in radiotherapy
  • Method for predicting human body thoracico-abdominal surface area respiratory movement in radiotherapy

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Specific embodiment one

[0025] The method for predicting the respiratory motion of the human body's chest and abdomen surface area in radiotherapy of this embodiment includes the following steps:

[0026] Step a. Use a light pattern projector to project a color pattern composed of three different frequency RGB cosine curves onto the surface of the human body's chest and abdomen, and place a 3CCD color camera on each side of the light pattern projector to collect scene images and send them to the computer Perform post-processing, using dual cameras to obtain the three-dimensional coordinates of the characteristic landmark points and the regional boundary line according to the principle of binocular vision;

[0027] Step b. For the two video sequences acquired by the left and right cameras, after extracting the same region and its boundary lines and feature landmark points from the corresponding image pairs, match the region boundary lines and feature landmark points respectively, an...

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Abstract

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.

Description

technical field [0001] The invention discloses a method for predicting respiratory motion in the surface area of ​​the chest and abdomen of a human body during radiotherapy, which belongs to the technical field of respiratory motion prediction. Background technique [0002] Respiratory movement will cause the tumor and normal tissue to move at a certain frequency and amplitude, which will cause the difference between the actual absorbed dose in radiotherapy and the calculation result of the planning system, affect the treatment effect, and even cause radiotherapy damage to the human body. Respiratory movement during radiotherapy is the main reason for the subsequent positional movement and volume change of thoracic and abdominal tumors, which will aggravate the phenomenon of missed irradiation of the target area and increased irradiation of normal tissues, and the respiration movement will cause tumor deformation and movement, resulting in actual The difference between the a...

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Application Information

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IPC IPC(8): A61N5/10G06T7/246G06T7/73
CPCA61N5/10A61N5/1048A61N5/1049A61N2005/1059A61N2005/1092G06T7/248G06T7/74G06T2207/10016G06T2207/10024G06T2207/30096
Inventor 于晓洋史领韩玉翠赵烟桥
Owner HARBIN UNIV OF SCI & TECH
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