Rapid sparse reconstruction method and equipment for exciting tomography fluorescence imaging

A technology of tomographic imaging and excitation of fluorescence, applied in 3D modeling, image analysis, image data processing, etc., can solve difficult problems and achieve the effects of improving accuracy, avoiding numerical calculation, and increasing speed

Active Publication Date: 2011-04-27
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

Obviously, the sparsity constraint can be realized by using the L0 norm constraint, but at t

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  • Rapid sparse reconstruction method and equipment for exciting tomography fluorescence imaging
  • Rapid sparse reconstruction method and equipment for exciting tomography fluorescence imaging
  • Rapid sparse reconstruction method and equipment for exciting tomography fluorescence imaging

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[0021] 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.

[0022] figure 1 Is the overall flow of the reconstruction method of the present invention:

[0023] 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;

[0024] 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

The invention discloses a rapid sparse reconstruction method for exciting tomography fluorescence imaging (TFI), which comprises the following steps of: representing a diffusion equation into a linear equation by using a finite element theory; establishing a linear relation between unknown fluorescent light source distribution and boundary measuring data; calculating a surplus correlation vector to obtain the most relevant element set; merging the most relevant element set and a current support set to generate a new support set; dividing the discrete imaging space into an allowed area and a prohibited area by using the support set, and establishing a linear relation between surface fluorescence data and the allowed area; and substituting 0 for a negative element in a finally obtained solution vector. Heterogeneous characteristics of biological tissues are fully considered on the basis of a diffusion approximation model. In the process of reconstructing a light source, on the basis of sparse constraint of L1 norm, by regarding a TFI problem as a compressed sensing problem and positioning the light source by using a support set-based reconstruction method, the over-smooth phenomenonof a reconstruction result is effectively avoided, and the accuracy of TFI imaging is improved.

Description

technical field [0001] The invention relates to an optical molecular image imaging modality-excited fluorescence tomography technology, in particular to a fast fluorescence light source reconstruction method that realizes regularization of sparsity. 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 techniq...

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Application Information

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IPC IPC(8): G06T17/00G06T7/00
Inventor 田捷韩冬杨鑫秦承虎吴萍
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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