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

Fluorescence molecular tomography reconstruction method based on alternative iterative operation

A fluorescent molecular tomography and alternate iteration technology, applied in the field of molecular imaging, can solve the problems of being easily affected by measurement errors and noise, non-unique solutions, and limited number of solutions. Effect

Inactive Publication Date: 2013-11-20
XIDIAN UNIV
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, the signal detected by the optical detection instrument at the boundary of the reconstruction target area is the value of the boundary point, the number is limited, and the number of points inside the solution area is very large
Solving a large number of unknowns from a small amount of measurement data is an ill-posed problem with serious ill-conditioning, and its solution is not unique and is easily affected by measurement errors and noise

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
  • Fluorescence molecular tomography reconstruction method based on alternative iterative operation
  • Fluorescence molecular tomography reconstruction method based on alternative iterative operation
  • Fluorescence molecular tomography reconstruction method based on alternative iterative operation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0035] combined with figure 1 The steps of the present invention are further described.

[0036] (1) Obtain measurement data

[0037] a. The excitation light source performs multi-angle transmission tomographic imaging on the reconstruction target fixed on the electric control rotary table;

[0038] In transmission tomography, lasers and optical detection instruments are placed on both sides of the imaging target. The laser irradiates the reconstructed target to excite the fluorophore to emit fluorescence, and the fluorescence penetrates the imaging target to be detected by the optical detection instrument opposite the laser.

[0039] For multi-angle transmission tomography, the electronically cont...

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 fluorescence molecular tomography reconstruction algorithm based on an alternative iterative operation, which is characterized in that a weighted algebraic reconstruction technique and a steepest descent method are used alternately for solving. The fluorescence molecular tomography reconstruction algorithm comprises the following steps that (1), measurement data is acquired; (2), a linear relationship between the measurement data and target distribution is established; (3), a 2 norm minimization problem with a constraint condition is constructed; and (4), the weighted algebraic reconstruction technique and the steepest descent method are used alternately for solving the minimization problem, and a target distribution diagram is obtained. According to the fluorescence molecular tomography reconstruction algorithm, based on a light transmission theory and a finite element method, prior information such as an optical characteristic parameter and an anatomical structure is used, multipoint excitation and multipoint measurement are adopted, and the measurement data is obtained as far as possible, so that the pathosis of the problem is reduced; the weighted algebraic reconstruction technique and the steepest descent method are used alternately for solving the problem, so that a reconstruction result of fluorescence molecular tomography is improved effectively; and the fluorescence molecular tomography reconstruction algorithm has an important application value in the fields of molecular imaging, reconstruction algorithms and the like.

Description

technical field [0001] The invention belongs to the field of molecular imaging, and further relates to a fluorescence molecular tomography reconstruction algorithm based on alternate iterative operations, which can be used for inverse reconstruction of in vivo fluorescence molecular tomography. Background technique [0002] Fluorescence molecular tomography (hereinafter referred to as FMT) is a new optical molecular imaging technology that has emerged in recent years. It uses certain molecules (generally mainly polycyclic aromatic hydrocarbons or heterocyclic compounds, etc.) Needles, fluorescent dyes, etc. mark reconstruction targets. Under the irradiation of an external excitation light source, the molecules will absorb the external excitation light, and then emit photons, and the intensity of the generated light is proportional to the number of marked targets. Outside the reconstruction target area, the photons transmitted out of the reconstruction target area can be dire...

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): A61B5/00
Inventor 陈多芳易黄建朱守平陈冬梅李维金征宇梁继民田捷
Owner XIDIAN UNIV
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