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Adaptive tomographic fluorescence imaging (TFI) reconstructing method

A tomographic and self-adaptive technology, applied in the directions of diagnosis, application, diagnostic recording/measurement, etc., to achieve the effect of improving reconstruction efficiency and improving robustness

Active Publication Date: 2013-02-27
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0004] Aiming at the problem of regularization selection in TFI reconstruction technology, the present invention proposes a fast and robust TFI reconstruction method with adaptive regularization parameters

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  • Adaptive tomographic fluorescence imaging (TFI) reconstructing method
  • Adaptive tomographic fluorescence imaging (TFI) reconstructing method
  • Adaptive tomographic fluorescence imaging (TFI) reconstructing method

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Embodiment Construction

[0019] The reconstruction method of the present invention will be 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, and have no limiting effect on it.

[0020] figure 1 Is the overall flow of the reconstruction method of the present invention:

[0021] Step 101: The present invention adopts the diffusion equation as the TFI imaging model, and the model includes two coupled diffusion equations of the excitation process and the emission process. By using the finite element method, the diffusion equation can be discretized for subsequent processing;

[0022] Step 102: For the TFI inverse problem, the surface fluorescence distribution is known, but the internal fluorescence light source distribution is unknown. By performing matrix transformation on the discretized diffusion model, the relationship between the surface measurement data...

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Abstract

An adaptive TFI reconstructing method includes converting a diffusion equation into a linear equation through a finite element method; constructing a linear relation between unknown fluorescent light source distribution and a surface fluorescence measurement value; calculating a current regularization parameter and selecting an element with the largest absolute value in a difference correlation coefficient into a support set I; extracting all the current elements in the updated support set from corresponding lines in a matrix A, constituting a matrix, and obtaining a next-step searching direction; calculating the length of the next step and updating the support set; obtaining a next-step result according to the solved searching direction and step length iteration, and updating the regularization parameter; and determining whether stopping requirements are satisfied, if yes, finishing the reconstructing process, or otherwise, turning to the fourth step. According to the method, the regularization parameter is not needed to predict but determined adaptively during the reconstructing method, the reconstructing robustness is improved through adaptive regularization parameter selection, and the reconstructing efficiency is improved greatly.

Description

technical field [0001] The present invention relates to optical molecular image imaging modal excitation fluorescence tomography (Tmographic Fluorescence Imaging, TFI) technology, in particular to an adaptive fluorescence tomography reconstruction method. Background technique [0002] As an optical molecular imaging modality, excited fluorescence imaging technology has been developed rapidly and widely used. By labeling optical molecular probes on biological tissues in the region of interest and collecting fluorescent signals on the body surface, we can obtain information at the cellular level of biological molecules in a non-invasive way. However, due to the severe scattering phenomenon of photons when propagating in biological tissues in the visible and near-infrared ranges, traditional two-dimensional excited fluorescence imaging techniques cannot reveal the exact location of fluorescent light sources. Fluorescence tomography (TFI) is a three-dimensional reconstruction t...

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Application Information

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IPC IPC(8): A61B5/00
Inventor 杨鑫田捷薛贞文李勇保
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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