Method for reconstructing fluorescence molecular tomography based on semi-threshold tracking algorithm

Abstract

The invention belongs to the technical field of molecular imaging, and discloses a method for reconstructing fluorescence molecular tomography based on semi-threshold tracking algorithm. The multi-point excitation and finite angle measurement are used to construct a sparse canonical model of a non-convex problem, and the linear relationship between the surface measurement data and fluorescence target distribution is established. The linear relationship is transformed into the 1 / 2 norm minimization problem to solve and obtain the three-dimensional distribution and concentration of the fluorescent targets within a reconstructed target. The model is solved by threshold iteration and matching tracing algorithm. The method reduces the morbidity of the problem. Optical characteristic parameters and the anatomical structure information are used as a priori knowledge to improve the accuracy of the reconstruction result and the quality of a reconstructed image. The reconstruction problem is transformed into a 1 / 2-norm minimization problem with constraint conditions and is solved by using the semi-threshold tracing algorithm, which makes the solution satisfy the minimum of 1 / 2- norm and guarantees the robustness of the reconstruction problem to the parameters and the acceleration reconstruction time.

Description

technical field [0001] The invention belongs to the technical field of molecular imaging, and in particular relates to a method for reconstructing fluorescent molecular tomography based on a half-threshold tracking algorithm. Background technique [0002] Fluorescence molecular tomography (FMT for short) is a new imaging modality developed in recent years with promising prospects for in vivo research. It uses an external near-infrared light source to excite fluorescent probes (fluorophores, fluorescent dyes, etc.), so that the fluorescent probes emit photons, and collects fluorescent signals using a fluorescence acquisition device (usually a CCD camera). Combined with the mathematical modeling of the light transmission model, The position and concentration of the fluorescent probe in the reconstructed target can be obtained, and the qualitative and quantitative research on the biological process in the living state at the cellular and molecular levels can be realized. At pr...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the redundant data in the currently collected fluorescence measurement data increases, and the calculation time consumption increases

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