A Feasible Region Optimization Method for Fluorescence Molecular Tomography

Abstract

The invention belongs to the technical field of optical molecular imaging, and discloses a method for optimizing the feasible region of fluorescent molecular tomographic imaging; using finite element calculation software to divide the phantom into tetrahedral grids, and establish a linear relationship between surface measurement values ​​and internal fluorescent target distribution; Using the incomplete variable truncated conjugate gradient method and the conjugate gradient least squares method to solve the system equations, two sets of reconstruction results are obtained; according to the three-way decision theory, the positive domains of the two sets of reconstruction results are divided, and combined to form the target feasible area, as the next step The area reconstructed at the level; the incomplete variable truncated conjugate gradient method and the conjugate gradient least squares method are used again for reconstruction, and the improved final result is obtained. The invention adopts two different reconstruction algorithms for reconstruction; extracts the positive domain in the two groups of results; and completes the final reconstruction in this area. The present invention can obtain accurate target range area, effectively alleviates the morbidity of the problem, and the image quality of the above two reconstruction methods is obviously improved.

Description

technical field [0001] The invention belongs to the technical field of optical molecular imaging, in particular to a method for optimizing the feasible region of fluorescent molecular tomography. Background technique [0002] At present, the existing technology commonly used in the industry is as follows: as an important branch of optical molecular imaging technology, fluorescence molecular tomography (FMT) irradiates the organisms labeled with fluorescent objects with excitation light of a specific wavelength, and then based on the full-angle non-contact The imaging system uses a high-performance CCD to collect the light intensity distribution on the surface of the organism, and combines a suitable mathematical model to invert the three-dimensional distribution and fluorescence concentration of the fluorescent marker in the organism. This technology can realize the physiological process and In vivo dynamic monitoring of pathological changes. The imaging sensitivity of fluo...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the results obtained by traditional reconstruction algorithms cannot give the accurate distribution of fluorescent markers, which greatly reduces the reference value of the reconstruction results in follow-up studies, and reduces the accuracy of fluorescence molecular tomographic reconstruction techniques. The application value; it cannot provide effective reconstruction results in clinical and pre-clinical studies of small animal whole body imaging and human breast organ imaging

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