Fluorescent molecular tomography reconstruction method based on magnetic particle imaging prior guidance

Abstract

The invention belongs to the field of fluorescence molecular tomography, particularly relates to a fluorescence molecular tomography reconstruction method based on magnetic particle imaging prior guidance, and aims to solve the problems that a guidance mode has no specificity for tumors, is low in accuracy and precision, and cannot overcome the defect that the depth of an FMT is limited, so that the FMT reconstruction quality is low when a light source moves deep. The method comprises the following steps: acquiring an MPI-dimensional cross-sectional image, a near-infrared fluorescence two-dimensional image and a CT image; constructing an SIS capable of accommodating the ROI region, and discretizing the SIS by using a finite element method; performing data mapping to obtain a surface detected fluorescence signal, anatomical structure priori and tumor priori of tissues and organs around the tumor; a system matrix is obtained through forward model calculation, and a target function is constructed; and solving the objective function through Laplacian regularization matrix constraint iteration to obtain a fluorescence molecular tomography reconstruction result. According to the method, the MPI is used for guiding the FMT to reconstruct the targeted tumor model which is complete in morphological structure, clear in tissue edge and accurate in spatial position.

Description

technical field [0001] The invention belongs to the field of fluorescent molecular tomography, in particular to a method for reconstructing fluorescent molecular tomography based on a priori guidance of magnetic particle imaging. Background technique [0002] Fluorescence Molecular Tomography (FMT) makes up for the defect that two-dimensional fluorescence molecular imaging (FMI, Fluorescence Molecular Imaging) cannot provide three-dimensional spatial information. The specific fluorescence distribution of the probe in vivo was obtained, and then the location and structure of the tumor were reconstructed. However, due to the nonlinear relationship between the measured flux on the surface and the fluorescent source (i.e. tumor) in terms of spatial location and signal intensity, and the photon transmission in the tissue has complex and severe scattering and absorption effects, the fluorescent light source located in the deep The fluorescence photons that can reach the surface a...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, the guided modality is non-specific for tumors, has low accuracy and precision, and cannot overcome the defect of limited FMT depth, so that the ...

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