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Human thoraco-abdominal surface motion prediction method for radiotherapy

A motion prediction, chest and abdomen technology, applied in the fields of oncology medicine, statistical mathematics, and precision measurement, can solve problems such as prediction accuracy constraints, and achieve the effect of improving prediction accuracy and high prediction accuracy

Active Publication Date: 2019-06-14
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

The model prediction method cannot take care of this change, so the prediction accuracy will be restricted. Therefore, more scholars have begun to try in the model-free prediction method

Method used

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  • Human thoraco-abdominal surface motion prediction method for radiotherapy
  • Human thoraco-abdominal surface motion prediction method for radiotherapy
  • Human thoraco-abdominal surface motion prediction method for radiotherapy

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Embodiment 1

[0069] This embodiment is an embodiment of a radiotherapy-oriented method for predicting the surface motion of the chest and abdomen of a human body.

[0070] The radiotherapy-oriented human chest and abdomen surface motion prediction method of this embodiment includes the following steps:

[0071] Step a, using fasttrack, collect chest and abdomen surface respiratory motion data f low-high (x);

[0072] Step b, using a high-pass filter to filter out the chest and abdomen surface respiratory motion data f obtained in step a low-high The low-frequency component in (x) removes other movements of the human body except respiratory movement during radiotherapy, and obtains the chest and abdomen surface respiratory movement data f high (x);

[0073] Step c, using a low-pass filter to filter out the chest and abdomen surface respiratory motion data f obtained in step b high The high-frequency component in (x) removes the noise during the acquisition process of the respiratory mov...

Embodiment 2

[0121] This embodiment is a simulation embodiment for realizing the purpose of the present invention with a specific simulation program.

[0122] The program described in this embodiment can be run directly on the Matlab software. In this embodiment, the respiratory movement is simplified into a triangular wave, and the characteristic points are the maximum value, the minimum value of the triangular wave and the time when these two extreme values ​​occur. A straight line connects two adjacent extreme values. There are ten sets of maximum value and minimum value data, among which, the first nine sets are used as training sets to predict the unknown quantity at a certain moment between the ninth set and the tenth set, and the tenth set of data is used as the standard, for the unknown Quantitative forecasts are compared.

[0123] The procedure is as follows:

[0124]

[0125]

[0126]

[0127]

[0128] The result of running the program is as figure 1 As shown, the p...

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Abstract

The invention provides a human thoraco-abdominal surface motion prediction method for radiotherapy, relating to the technical field of precision measurement, tumor medical science, statistical mathematics and the like. The human thoraco-abdominal surface motion prediction method includes the steps: collecting the thoraco-abdominal surface respiratory motion data, then filtering the noise during the process of collecting data of other motions except for the respiratory motion of a human body and the data of the thoraco-abdominal surface motion by using a high-pass filter and a low-pass filter respectively, acquiring feature data as a training set, and predicting the next set of feature data according to the feature data, and finally predicting the thoraco-abdominal surface respiratory motion data according to the given time. The human thoraco-abdominal surface motion prediction method for radiotherapy adopts a mode of predicting the feature quantity and the occurrence time separately, and combines the relationship between the feature quantity and the occurrence time and the occurrence time of the unknown quantity to realize the prediction of the unknown quantity, thus making full use of the orderliness and inertia of the feature quantity to achieve a more accurate prediction of the unknown quantity, and being beneficial to improvement of the radiotherapy effect of the malignanttumor of the digestive system.

Description

technical field [0001] The radiotherapy-oriented human chest and abdomen surface motion prediction method of the invention relates to the technical fields of precision measurement, tumor medicine, statistical mathematics, and the like. Background technique [0002] Radiation therapy (hereinafter referred to as radiotherapy) is one of the most important means of treating cancer. About 70% of cancer patients will use radiotherapy in the course of cancer treatment, and about 40% of cancers can be cured by radiotherapy. The effect of radiation therapy is related to the precision and dose of radiation delivered to the tumor area. Malignant tumors of the digestive system are located in the thoracic and abdominal cavity. Affected by respiratory movement, the position and volume of the tumor will change over time, resulting in a decrease in the accuracy of radiation irradiation, thereby affecting the effect of radiotherapy. [0003] In order to solve the problem that respiratory m...

Claims

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Application Information

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IPC IPC(8): G16H20/30G16H20/40
Inventor 赵烟桥王妍张琴朱子桐王淼李宇潇
Owner HARBIN UNIV OF SCI & TECH
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