Bioluminescence tomography reconstruction method

Abstract

The invention discloses a bioluminescence tomography reconstruction method. The method includes the steps: acquiring signal distribution conditions of a bioluminescent light source in a small animal body on a body surface by the aid of a bioluminescence tomography data acquisition platform and acquiring anatomical structure information in the small animal body by the aid of a Micro-CT (computed tomography) system; and constructing a system equation based on a three-order simplified spherical harmonic approximation model of a radiative transport equation and a finite-element mesh, and solving the system equation by a compressive sensing sparse regularization method to obtain accurate positioning information of the light source in the small animal body. By the aid of the bioluminescence tomography reconstruction method, three-dimensional light source distribution and the positioning information in the small animal body can be inversed through the two-dimensional light source distribution and the anatomical structure information of the small animal body surface.

Description

technical field [0001] The present invention relates to the technical field of optical imaging, in particular to a bioluminescent tomographic imaging method. The present invention is based on a third-order simplified spherical harmonic approximation model and a sparse regularization method, and can be applied to early diagnosis of diseases, gene therapy and drug research and development, etc. field. Background technique [0002] In recent years, due to its advantages over X-ray imaging, magnetic resonance imaging, and nuclide imaging in terms of sensitivity, safety, operability, and cost, optical imaging technology has developed rapidly and is widely used in biological research. Remarkable scientific research results have been obtained. Among them, bioluminescence tomography (Bioluminescence tomography, BLT), as a leading optical imaging technology, collects optical signals through a high-sensitivity CCD camera, combines the light transmission theory of biological tissue an...

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Problems solved by technology

However, because BLT is an early imaging, at the cellular and molecular level, the light source signal is weak, and is affected by the scattering and absorption of biological tissues, the signal received by the CCD camera on the body surface will have attenuation and noise, coupled with bioluminescence tomography The inverse reconstruction problem of is a severely ill-posed problem, which makes developing stable and efficient reconstruction algorithms a challenging problem in bioluminescent tomography

but traditional / 2 The norm regularization method is easy to produce a smooth solution, the energy distribution of the reconstructed light source is too smooth, the distribution range of the reconstruction result is large, far beyond the size of the light source itself, and at the same time, multiple pseudo light sources are generated near the real light source in the BLT inverse problem reconstruction

[0005] Most of the BLT reconstruction methods in existing patents or literatures use diffusion approximation equations and based on / 2 The regularization method of the norm, although in the latest literature there is a high-order spherical harmonic approximation model using a more accurate RTE equation in the forward model or using / 1 However, how to combine the characteristics of the forward and reverse problems while taking into account the accuracy and efficiency of the forward model and the reverse reconstruction method is still a challenging problem.

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