Optical tomography reconstruction method based on iterative measurement

A technology of optical tomography and iterative measurement, which is applied in diagnostic recording/measurement, diagnosis using tomography, diagnosis, etc. It can solve the problems of increased matrix size, large imaging error, and inapplicable diffusion equation, etc., to improve modeling accuracy , reduced computational cost, and high reconstruction speed

Pending Publication Date: 2018-12-25
SUZHOU UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the diffusion approximation has inherent limitations: first, for regions where the medium is low scattering or non-scattering, the diffusion equation does not apply
However, this leads to an increase in the size of the matrix, which increases the computational cost of the reconstruction
Using the method of simplifying the model, the dimen

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
  • Optical tomography reconstruction method based on iterative measurement
  • Optical tomography reconstruction method based on iterative measurement
  • Optical tomography reconstruction method based on iterative measurement

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0030] Examples:

[0031] Such as figure 1 As shown, the optical tomographic reconstruction method based on iterative measurement includes:

[0032] The integration of forward model errors is used to compensate for the forward model errors caused by diffusion approximation, thereby improving the modeling accuracy of the optical transmission process;

[0033] The grouping iteration of measurement data is used to reduce the amount of reconstruction calculation and improve the reconstruction speed.

[0034] Step 1. The integration of forward model errors includes:

[0035] 1) Use Gaussian model to represent the forward model error ε, Among them, N represents Gaussian distribution, Γ ε with Represent the covariance and mean of the forward model error ε, respectively. Use Gaussian model to represent the absorption coefficient x to be reconstructed, Among them, Γ x with Denote the covariance and mean of x, respectively.

[0036] 2) Generate a set of samples x according to the Gaussian mo...

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 discloses an optical tomography reconstruction method based on iterative measurement, which divides the boundary measurement data into two groups. In the iterative reconstruction process, the two groups of boundary measurement data are alternately used for iterative reconstruction until the value of the objective function is smaller than a preset threshold value, and the final absorption coefficient to be reconstructed is obtained. The forward model error between radiative transfer equation and diffusion approximation is incorporated into the imaging process, so that the forwardmodel error caused by diffusion approximation can be compensated, and the modeling accuracy and imaging speed of the optical transmission process can be improved.

Description

technical field [0001] The invention belongs to the technical field of biological optical imaging, in particular to an optical tomography reconstruction method based on iterative measurement. Background technique [0002] Optical tomography is a very important imaging method in biomedical research, and it is a highly sensitive non-destructive detection technology. This technology can be used to image the optical parameters such as absorption coefficient and scattering coefficient of various parts of biological tissues, so as to provide important functional information of biological tissues, which has broad development prospects and research value. Its notable features include: non-invasive, portability, continuity, functional measurement. At present, this technology has been successfully applied in blood oxygen detection, early diagnosis and location of cerebral hemorrhage, detection of breast cancer and other fields. [0003] Optical tomographic image reconstruction inclu...

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): G06T11/00G06F17/50A61B5/00
CPCA61B5/0073G06T11/005G06F30/23
Inventor 邹玮
Owner SUZHOU 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