Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Cone-beam X-ray luminescence computed tomography method

A luminescence tomography and X-ray technology, which is applied in the field of medical imaging, can solve the problems of low scattering or weak scattering characteristics, the inability to accurately describe the transmission process of emitted fluorescence, and the inability to provide three-dimensional imaging results, etc., to achieve rapid reconstruction and improved resolution. Effect

Active Publication Date: 2013-08-14
GUANGZHOU BLT INSTR & METER
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the diffusion approximation equation can only describe the transport process of emitted fluorescence in tissues with high scattering properties
For complex organisms with multiple scattering properties, including biological tissues with low scattering or weak scattering properties, the diffusion approximation equation will not be able to accurately describe the transmission process of emitted fluorescence, so it will not be able to provide accurate three-dimensional imaging results

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
  • Cone-beam X-ray luminescence computed tomography method
  • Cone-beam X-ray luminescence computed tomography method
  • Cone-beam X-ray luminescence computed tomography method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] refer to figure 1 , the concrete steps of the present invention are as follows:

[0044] Step 1, data acquisition and preprocessing

[0045] Using a multi-modal molecular imaging system, collect multi-angle fluorescence data and projection data of cone beam X-rays generated by fluorescent nanoparticle probes excited by cone-beam X-rays, and perform background noise removal, region-of-interest extraction, and dead pixels in sequence Compensation and other data preprocessing.

[0046] The multi-modal molecular imaging system is composed of a cone-beam X-ray light tube, a high-sensitivity CCD camera, and an X-ray flat-panel detector. Among them, the cone-beam X-ray light tube is used to irradiate the organism and excite the fluorescent nanoparticle probes that mark specific cells in the organism, and the high-sensitivity CCD camera is used to collect the multi-a...

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 a cone-beam X-ray luminescence computed tomography method based on a simplified ball harmonic wave-diffusion approximation model and solves the problem of fast and accurate imaging for achieving fluorescence image reconstruction based on a diffusion approximation equation or by aid of the traditional X-ray computed tomography technology in the prior art. The cone-beam X-ray luminescence computed tomography method is characterized in that an objective function is constructed on the basis of the simplified ball harmonic wave-diffusion approximation model and a sparse regularization method, and the objective function is solved in a half greedy algorithm to achieve fast and accurate reconstruction of in-vivo fluorescence nano-particle probes. The cone-beam X-ray luminescence computed tomography method specifically includes steps: data collection and preprocessing, living body anatomical structure reconstruction, body surface fluorescence data acquisition, forward light transmission model construction, sparse regularization objective function construction, objective function optimization solution and three-dimensional reconstruction result display. The cone-beam X-ray luminescence computed tomography method has the advantages of being capable of achieving accurate, fast and high-resolution position and concentration distribution reconstruction of the in-vivo fluorescence nano-particle probes, and being capable of being applied to the field of X-ray fluorescence computed tomography.

Description

technical field [0001] The invention belongs to the technical field of medical imaging, and further relates to a cone-beam X-ray luminescence tomography method based on a simplified spherical harmonic-diffusion approximation model in the technical field of optical molecular imaging. This method can be applied to small animal experiments such as tumor detection, new drug development and efficacy evaluation to obtain the intensity distribution information of the target. Background technique [0002] X-ray luminescence tomography is an emerging optical molecular imaging technology. It uses X-rays to excite fluorescent nanoparticle probes that mark specific cells in small animals to emit near-infrared fluorescence; then, the emitted light is collected by a high-sensitivity CCD camera. near-infrared light; finally, near-infrared optical tomography was used to reconstruct the distribution of fluorescent nanoparticle probes in small animals. Due to the use of X-rays as the excitat...

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): A61B6/03
Inventor 陈雪利梁继民杨德富朱守平陈多芳雷晶薛华丹金征宇汪静田捷
Owner GUANGZHOU BLT INSTR & METER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products