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Finite-element reconstruction method for space weighting of auto-fluorescence imaging

An autofluorescence and finite element technology, applied in the generation and application of fluorescence/phosphorescence, 2D images, etc., can solve problems such as difficulties and individual inaccuracies, achieve the effect of reducing computational overhead and solving quantitative reconstruction problems

Inactive Publication Date: 2009-09-23
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

At this stage, most of the BLT research groups in the world obtain the optical characteristic parameters of the main anatomical tissues through the literature, but in practice it is not accurate due to individual differences
On the other hand, the three-dimensional BLT light source inverse problem is very difficult to accurately reconstruct the light source intensity information because the number of internal unknown light sources is far greater than the amount of information that can be captured at the boundaries of biological tissues

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  • Finite-element reconstruction method for space weighting of auto-fluorescence imaging
  • Finite-element reconstruction method for space weighting of auto-fluorescence imaging
  • Finite-element reconstruction method for space weighting of auto-fluorescence imaging

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Embodiment Construction

[0027] The finite element reconstruction method applied to the spatial weighted unit of autofluorescence tomography provided by the present invention includes the following steps:

[0028] Step 1: Diffuse optical tomography uses the finite element method to simulate the transmission of light in the tissue, and obtains the integral of the corresponding signal in the time domain, and then uses the Levenberg-Marquardt method to iteratively reconstruct the tissue optical characteristic parameters of the region of interest Accurate spatial distribution.

[0029] Step 2: According to the optical signal distribution captured on the CCD, the distribution area of ​​the real light source is limited, and the entire area is divided into a light source feasible area and a light source unfeasible area.

[0030] Step 3: Use the Monte Carlo (MC) random method to simulate the light transmission process in biological tissue, and match the simulation results on the MC grid with the reconstructio...

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Abstract

The invention puts forward a finite-element reconstruction method for space weighting of auto-fluorescence imaging. The method uses a diffuse optical tomography (DOT) technique to precisely reconstruct optical parameters of main biological tissue. The method limits a possible real light-source region, and divides a whole reconstruction region into a light-source possible region and a light-source impossible region so as to improve the numerical stability and effectiveness of reconstruction problems and reduce the ill-conditioned property of BLT reconstruction problems. In order to avoid famous 'Inverse Crime' problems, the method adopts a Monte Carlo (MC) random method to simulate the process of transmitting light in the biological tissue. Then the invention puts forward a finite-element method based on a space-weighting unit and adopts a tolerant algorithm for linear constrained optimization problems to reconstruct light-source information.

Description

technical field [0001] The invention belongs to the field of molecular imaging, and relates to an autofluorescence tomography algorithm, in particular to a finite element reconstruction method applied to a space weighted unit of autofluorescence tomography. Background technique [0002] At this stage, autofluorescence tomography is gradually becoming an important technique for studying regions of interest at the cellular and molecular levels. BLT reconstructs the distribution and intensity information of fluorescent light sources in the near-infrared band from the photon measurements detected at the boundaries of the region of interest. In the region of interest, the biological self-luminescence light source is formed by fluorescent probes gathering in the region of interest (for example: tumor, region where physiological processes occur) and emitting fluorescence. This mechanism is currently commonly used in the tracking of immune cells and the real-time study of a large n...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/64A61B5/00G06T11/00
Inventor 田捷石金杨鑫徐敏
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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