Biological autofluorescence tomography method based on iteration reweighting

Abstract

The invention relates to a biological autofluorescence tomography method and a device based on iteration reweighting. The method adopts the scheme that by capturing photon signals emitted by tumor cells of a fluorescent protein gene, a size of a tumor focal zone in an organism can be reconstructed three-dimensionally, and positioning analysis can be performed on the focal zone by fusing organism anatomical structure information provided by Micro-CT (Micro-Computed Tomography). According to the method and the device, a non-homogeneous organism model and a photon transmission model based on a diffusion equation are established by combining function information provided by autofluorescence imaging and the structure information provided by Micro-CT imaging, and three-dimensional reconstruction of an illuminant in the organism is achieved by using a norm regularization and iteration reweighting combined optimization strategy. With the adoption of the scheme, a result closer to an actual solution can be reconstructed by less observation quantity; the computational efficiency of solving can be improved effectively; the robustness of a reconstruction algorithm can be improved; and the method and the device are suitable for practical three-dimensional detection and quantitative analysis of a tumor in the practical organism.

Description

technical field [0001] The invention belongs to the field of optical molecular imaging, and relates to autofluorescence tomography technology, in particular to an autofluorescence tomography method based on an iterative reweighted norm optimization strategy. Background technique [0002] Autofluorescence tomography is one of the important modalities of optical molecular imaging. It has changed the limitation of traditional imaging in vitro methods that cannot continuously observe organisms in vivo, and can directly and non-invasively display the physiological and pathological processes at the cellular molecular level in organisms. . This technology mainly uses a high-sensitivity ultra-low temperature optical camera to capture the photon signals emitted by tumor cells with fluorescent protein genes, and then combines certain mathematical models and reconstruction algorithms to three-dimensionally detect the size of tumor lesions in vivo, and at the same time integrates microc...

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Problems solved by technology

However, this method needs to determine a small region of interest in the reconstruction area, which is often not well defined in practical applications.

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