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A Method for Obtaining Lung Respiration Motion Based on Boundary Element Model and Local Area Correction

A technology of respiratory movement and acquisition method, which is applied in medical simulation, medical informatics, computer-aided medical procedures, etc., can solve the problems that cannot meet the clinical real-time requirements and slow computing speed, and meet the clinical real-time requirements, Improving real-time performance and realizing the effect of precise calculation methods

Active Publication Date: 2018-12-07
上海精劢医疗科技有限公司 +3
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, in general, the calculation speed of the finite element-based method is relatively slow, which cannot meet the clinical requirements for real-time performance.

Method used

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  • A Method for Obtaining Lung Respiration Motion Based on Boundary Element Model and Local Area Correction
  • A Method for Obtaining Lung Respiration Motion Based on Boundary Element Model and Local Area Correction
  • A Method for Obtaining Lung Respiration Motion Based on Boundary Element Model and Local Area Correction

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Embodiment Construction

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] In a specific implementation, the CPU is Xeon E5405 2.0GHZ, the graphics card is NVIDIA Quadro VX200, and the memory is a computer configuration of 4.0GB. The implementation method is C++, Visualization Toolkit,

[0051] A method for acquiring lung breathing motion based on a boundary element model and local area correction, comprising the following steps executed in sequence:

[0052] S1: Obtain two sets of chest CT images of the same human body at different ...

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Abstract

The invention provides a lung respiratory movement acquisition method based on a boundary meta-model and local region correction. The method mainly includes the following steps that 1, chest CT images of a patient are acquired in advance; 2, lung regions are subjected to image segmentation on sequential images; 3, the chest sequential images at different respiration moments are registered; 4, boundary conditions of lung tissue respiratory movement are acquired; 5, all parameters in a lung surface boundary meta-model are calculated in combination with the boundary meta-theory and stored; 6, about 30 groups of feature points are selected from the sequential images at different respiration moments; 7, the lung tissue respiratory movement is subjected to movement estimation through a linear interpolation method; 8, lung interior region movement information is updated according to movement information of the feature points. Compared with the prior art, non-uniformity and anisotropism of the respiratory movement can be shown, and the advantages of being high in calculation speed, convenient to implement, flexible in application and the like are achieved.

Description

technical field [0001] The invention relates to the field of acquiring lung breathing motion information, in particular to a method for acquiring lung breathing motion information based on a boundary element model and local area correction. Background technique [0002] Precision treatment is an important development direction of today's medicine. It is the product of the rapid development of computing technology, imaging technology and medical science. It can provide patients with effective treatment with minimal additional damage, minimize risks and improve patient prognosis. The diagnosis rate of lung cancer has also improved to a certain extent. At present, most puncture operations are performed under the guidance of traditional three-dimensional CT images, and it is also an emerging and effective method for the diagnosis and identification of lung cancer. Combined with pathology, histopathological diagnosis is made, which has the characteristics of high diagnosis rate ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/50
CPCG16H50/50
Inventor 顾力栩
Owner 上海精劢医疗科技有限公司