Elastic network excitation fluorescence tomography reconstruction system based on adaptive parameter search

Abstract

The invention belongs to the technical field of optical molecular imaging, particularly relates to an elastic network excited fluorescence tomography reconstruction system, method and device based onself-adaptive parameter search, and aims to solve the problems of over-sparse, over-smooth, discontinuous space and the like of a region easily caused by solving tumor distribution by a single regularization constraint. The system comprises a data acquisition module which is configured to acquire biological CT three-dimensional tissue structure data and body surface excitation fluorescence image data thereof; a data segmentation and discretization module which is configured to perform organ segmentation and finite element discretization on the tissue structure data; a data fusion module whichis configured to obtain biological body surface excitation fluorescence light intensity distribution information; a model establishing module which is configured to establish a linear mathematical model; a target function generation module which is configured to generate a target function; and a search iteration and output module which is configured to calculate the effective solution of the target function, obtain the convergence distribution condition of the probes and output the convergence distribution condition. According to the method, the problem caused by solving tumor distribution through single regularization constraint is solved.

Description

technical field [0001] The invention belongs to the technical field of optical molecular imaging, and in particular relates to a system, method and device for elastic network excited fluorescence tomographic reconstruction based on self-adaptive parameter search. Background technique [0002] Fluorescence Molecular Tomography (FMT, Fluorescence Molecular Tomography), as a new type of optical molecular imaging technology, uses specific probes to target and mark tumor cells, and under the irradiation of an external excitation light source of a specific wavelength, the fluorescent probes absorb energy to generate The electron energy level jumps, generates excitation light and penetrates the biological tissue in the body to reach the body surface and is captured by a high-sensitivity optical detector in vitro. The diffusion equation model of photon transmission in biological tissue is established through the tissue structure information provided by computerized tomography, and t...

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Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the existing problems of over-sparse, over-smooth, spatially discontinuous, unrobust process, and difficult parameter selection in solving the tumor distribution based on a single regularization constraint, the present invention first On the one hand, an elastic network excited fluorescence tomographic reconstruction system based on adaptive parameter search is proposed, which includes: data acquisition module, data segmentation and discretization module, data fusion module, model building module, objective function generation module, search iteration and the output module:

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