Fluorescent target reconstruction result post-processing method based on three-way decision

Abstract

The invention belongs to the technical field of measurement for diagnostic purposes and discloses a fluorescent target reconstruction result post-processing method based on three-way decision. The method comprises the following steps: dividing a target into three parts, namely a target area, a boundary area and a background area according to a global reconstruction result by utilizing a three-waydecision theory; merging the target area and the boundary area, forming a target feasible area, and reconstructing in the area again; performing post-processing on the reconstruction effect in the feasible area, and dividing the target area, the boundary area and the background area, wherein the target area is the final result. According to the method disclosed by the invention, a target feasiblearea extraction method is obtained according to the three-way decision theory, the reconstruction problem ill-posed property is effectively reduced, and the solution stability and reconstruction result are improved. The final reconstruction result shows that a position error is 1.03mm, and the reconstruction accuracy is obviously improved. The reconstruction result is post-processed according to the three-way decision theory, the target area, the boundary area and the background area are clearly obtained, and huge convenience is provided.

Description

technical field [0001] The invention belongs to the technical field of measurement for diagnostic purposes, and in particular relates to a method for post-processing the results of fluorescent target reconstruction based on three-way decision-making. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: Fluorescence molecular tomography can be based on the diffuse light distribution detected by the boundary, considering the scattering and absorption of light by biological tissues, and selecting an appropriate reconstruction method to reconstruct the three-dimensional distribution and fluorescence concentration of fluorescent probes in the organism, and realize biological analysis at the molecular level. In vivo dynamic monitoring of physiological processes and pathological changes is of great significance for early detection of diseases, drug development and treatment evaluation. Due to its advantages in imaging se...

AI Technical Summary

Problems solved by technology

The backward problem is a typical ill-posed problem, which is seriously ill-conditioned, and its solution is easily disturbed by noise and is very unstable.

However, doing some proper post-processing on the reconstructed results is rarely covered

[0003] In summary, the problems in the prior art are: The reconstruction results obtained by using traditional algorithms often contain noise. If they are directly used in the next experiment without post-processing, it may affect the accuracy of the experiment. Further optimization of the reconstructed image is required. The post-processing of

In the post-processing process, two thresholds need to be reasonably determined. Too large or too small thresholds may cause errors in node division, making the selected reconstruction range deviate from the area where the fluorescent target is located.

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