A method for extracting target feasible area in X-ray luminescence tomography

Abstract

The invention belongs to the technical field of molecular imaging, and discloses a method for extracting target feasible regions of X-ray luminescence tomography. Based on light transmission theory and finite element method, using prior information such as optical characteristic parameters and anatomical structures, N groups of different meshes are designed. Based on the statistical analysis of N grid reconstruction results, a new group of feasible regions is extracted according to the degree of region overlap, and the feasible region is used as the reconstruction region for another target reconstruction; by reducing the reconstruction region, the problem is reduced. It can effectively improve the reconstruction results of X-ray luminescence molecular tomography, and has important application value in the fields of molecular imaging and reconstruction algorithms. The invention alleviates the pathological nature in the reverse problem of optical imaging and effectively improves the reconstruction quality; it can also be used in bioluminescence tomography (BLT), fluorescence molecular tomography (FMT) and other optical molecular imaging fields.

Description

technical field [0001] The invention belongs to the technical field of molecular imaging, in particular to a method for extracting a target feasible area of ​​X-ray luminescence tomography. Background technique [0002] X-Ray Luminescence Computed Tomography (XLCT for short) is a new type of molecular imaging technology that can simultaneously perform functional imaging and molecular imaging. Specifically, with the help of modern optical molecular probe synthesis technology, a molecular probe synthesized by nano-luminescent particles with luminescent properties is used to construct a new type of optical molecular imaging system combined with Micro-CT; X-rays are used to irradiate nano-luminescent materials in vivo to excite It generates near-infrared light and collects it through a high-sensitivity CCD (Charge coupled device, CCD) camera, combined with reconstruction methods to invert the three-dimensional distribution of nano-luminescent targets. Compared with other optica...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: in the reconstruction of X-ray luminescence tomography imaging, the optical data collected by the optical detector is only the surface data of the imaging target, the number is limited, and the number of internal points in the solution area is very large

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