Respiratory movement prediction method

A technology of breathing movement and prediction method, which is applied in the medical field and can solve the problem of inability to predict the breathing movement state of patients.

Pending Publication Date: 2021-04-06
FOSHAN UNIVERSITY
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  • Claims
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Problems solved by technology

[0004] Based on this, in order to solve the problem that the prior art cannot predict the respiratory movement state of the patient, the present invention provides a respiratory movement prediction method, and its specific technical solution is as follows:

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[0043] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with its embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0044] It should be noted that when an element is referred to as being “fixed” to another element, it can be directly on the other element or there can also be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and similar expressions are used herein for purposes of illustration only and are not intended to represent the only embodiments.

[0045] Unless otherwise defined, all technical and scientific t...

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Abstract

The invention provides a respiratory movement prediction method which comprises the following steps of constructing a BP neural network, and optimizing the BP neural network by fusing a simulated annealing genetic algorithm, optimizing a weighting error of the BP neural network, acquiring respiratory movement data and processing the respiratory movement data, training the BP neural network with the optimized weighting error by using the processed respiratory movement data to obtain a strong regression device, and predicting the respiratory movement state of the human body by using a strong regression device. The respiratory movement state of the patient can be predicted with high precision, and the actual tumor is prevented from exceeding the target area, so that the patient can be better subjected to radioactive therapy.

Description

technical field [0001] The present invention relates to the field of medical technology, in particular, to a respiratory motion prediction method. Background technique [0002] During radiation therapy for tumors, the effects of breathing motion can cause changes in the position and shape of tissues and organs in the chest and abdomen. In order to prevent the actual tumor from exceeding the target area, the methods usually adopted are: 1) the method of expanding the range of radiotherapy, which will increase the radiation dose to the patient due to the expansion of the target area; 2) breath-holding technique, which requires Patients hold their breath, but many patients cannot hold their breath for a long time; 3) image acquisition method, this method will cause artifacts in the acquired image, which limits its practical utility; 4) respiratory gating technology, this method only involves Acquisition / use of imaging data during a limited window (eg end-tidal) based on simple...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61N5/10G06N3/08
CPCA61N5/1001A61N5/1048A61N5/1049G06N3/084G06N3/086A61N2005/1092
Inventor 刘军彭慧娴
Owner FOSHAN UNIVERSITY
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