In vivo fluorescence numerator imaging modelling approach capable of calling multiple imaging algorithms

Abstract

The invention relates to an in-vivo fluorescence molecule imaging and modeling method which can invoke a plurality of imaging algorithms and belongs to the technical field of fluorescence molecule imaging. The in-vivo fluorescence molecule imaging and modeling method is characterized in that the method is realized by controlling a florescence molecule imaging apparatus by a computer; a Microsoft main control interface program, a hardware control program package, a software library experimental data conversion and algorithm parameter alternating module, a DLL format DLL document that internally contains a C language library and a MATLAB software, and a rebuilding algorithm program library that internally contains a finite element analysis software and a kernel of the MATLAB software are arranged in the computer; in addition, an open-source image processing library is also contained. The in-vivo fluorescence molecule imaging and modeling method can automatically realize the fluorescence molecule imaging and realize the rebuilding algorithm of the density and the position of the fluorescence group and renovate the algorithm kernel conveniently.

Description

Technical field: [0001] The invention belongs to the application technology of fluorescence molecular imaging, and relates to an application method for in vivo fluorophore reconstruction of a phantom or small animal by using various technologies to call multiple fluorescence molecular tomography reconstruction algorithms. And provide a variety of fluorescent molecular imaging experiments, including application software for transmission, reflection imaging and tomographic imaging. Background technique: [0002] In modern society, cancer and various cardiovascular diseases are increasingly threatening people's health. Especially for cancer, its survival rate is low and patients suffer a lot. Modern medicine has no very effective treatment for cancer, especially advanced cancer, and one of the biggest challenges in oncology is how to find a method for early detection, which is the key to whether cancer can be successfully treated and improve survival rate one. How to detect ...

AI Technical Summary

Problems solved by technology

[0004] However, fluorescent molecular imaging itself involves a wide range of academic and technical fields (bio-optics, medicine, applied mathematics, electronic engineering and software engineering), various imaging methods and complex imaging steps, resulting in the application of fluorescent molecular imaging in clinical and scientific research. Many problems have been encountered in the process: (1) multiple hardware systems, imaging instrument equipment modules and various softwares are required to be used in the imaging process (see appendix figure 1 , figure 2 and a description of specific implementation methods), which requires an integrated approach to enable the application of the entire experimental process

In addition, it is difficult for experimenters to make experimental results in a short period of time, and the debugging and deployment of experiments takes up a lot of energy, which is one of the reasons why a method is needed to integrate various technologies; (2) from obtaining imaging objects ( At this stage, most of the white light pictures and fluorescent pictures of phantoms and small animals are transformed into experimental data and imaging object modeling data, and finally to the reconstruction results that involve a variety of experimental data formats. How to use them in the experimental process The convenient conversion of data format has become one of the technical thresholds in the experimental process; (3) the imaging steps of fluorescence molecular tomography are complicated (see image 3 and the description of the specific implementation method), there is an urgent need for a means to control the various processes and steps of the imaging as a whole during the experiment; (4) There are many algorithms for fluorescence molecular tomography reconstruction, such as analytical solution, Monte Carlo Direct solution method, finite element forward solution method and CGLS inverse problem solution method, etc. Nat.Biotechnol.23(3), 2005, pp313-320), different experiments require different reconstruction algorithms for imaging, and the reconstruction algorithm of fluorescence molecular tomography is also being continuously researched and improved, requiring an open source algorithm platform Improve the algorithm research (5) Due to its fixed mode and single imaging algorithm, the existing imaging system is difficult to meet the needs of various experiments in the laboratory and the research of multiple theoretical algorithms. Therefore, an effective open source system that integrates multiple algorithms The experimental platform can well promote the application of fluorescence molecular tomography, the development of imaging experiments, and the development and improvement of imaging algorithms.

[0005] Compared with the present invention, the experimental software platform at the present stage still has the shortcomings of fixed and single imaging method, insufficient algorithm integration, single imaging algorithm and insufficient space for algorithm development and improvement, which restricts the development of various experiments and the improvement of reconstruction algorithms. Research and development; while the data conversion link in each imaging module and the adjustment of each imaging hardware instrument module in this laboratory were mainly coordinated manually, resulting in various disadvantages such as low experimental efficiency and slow experimental process

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