Estimation method and system for lung motion model

A motion model and lung technology, applied in the field of image processing, to achieve the effect of small calculation, fast calculation speed and improved effect

Inactive Publication Date: 2014-04-30
SHENZHEN UNIV
View PDF2 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention is to provide a lung motion model estimation metho

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Estimation method and system for lung motion model
  • Estimation method and system for lung motion model
  • Estimation method and system for lung motion model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0025] figure 1 It shows the implementation process of the method for estimating the lung motion model provided by the embodiment of the present invention, as shown in figure 1 As shown, the details are as follows:

[0026] Step S101 , extracting control points in the 3D lung CT image of the reference phase.

[0027] In a 3D CT image, I x , I y , I z Represent the current voxel in the 3D CT image Calculate the autocorrelation matrix C of the voxel along the gradient in the x, y, and z directions:

[0028] according to C ( x ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention is applicable to the field of image processing and provides an estimation method and system for a lung motion model. The method includes: extracting a control point in a lung three-dimensional CT image of a reference phase; using a tracking position at a previous moment of the control point as a prediction position and tracking the position of the control point in a continuous-discrete-phase three-dimensional CT image; performing least-square curve fitting on the continuous-discrete-phase pursuit path of the control point and determining the motion position of the control point at any continuous time; and constructing a three-dimensional deformation model of the lung at a current time according to the motion position of the control point at any continuous time and obtaining lung motion position estimation of any voxel of the lung of the reference phase at any time. The estimation method and system for the lung motion model adopts an image registration algorithm based on a mark point so that the method is small in calculation quantity, high in calculation speed and capable of estimating the motion model of the lung effectively.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a lung motion model estimation method and system. Background technique [0002] At present, the application fields of 3D medical imaging technology are very extensive. X-ray computed tomography (Computed tomography, CT) imaging technology is the use of special X-ray equipment to obtain human tissue structure image technology, using three-dimensional CT imaging technology, can reconstruct three-dimensional medical images according to the patient's physiological conditions and pathological characteristics. Since the organs of the human body move cyclically with the breathing cycle, 3D imaging technology cannot handle the continuous time series organ motion model. [0003] The recently emerging four-dimensional medical imaging technology adds a time axis on the basis of three-dimensional data, which solves the limitations of three-dimensional imaging technology on the time axis. Fo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/20A61B6/03
Inventor 杨烜裴继红樊姗姗
Owner SHENZHEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products