Three-dimensional reconstruction method of excited fluorescence tomography based on deep learning

Abstract

The invention provides a three-dimensional reconstruction method of excited fluorescence tomography based on deep learning. The method comprises the following steps: S1, generating a training sample;S2, setting a deep learning model, and constructing that deep learning model comprising a picture information coding stage, a picture information fusion stage and a three-dimensional reconstruction stage; and S3, training the deep learning model, inputting the data of the organism into the deep learning model after training, and obtaining the three-dimensional reconstruction image of the organism.Based on statistical learning, the method trains the forward and reverse processes of photon propagation, and improves the precision and speed of three-dimensional reconstruction of biologically excited fluorescence computed tomography.

Description

Technical field [0001] The invention relates to the field of biomedical molecular imaging, in particular to a three-dimensional reconstruction method of excited fluorescence tomography. Background technique [0002] Fluorescence Molecular Imaging (FMI) technology is an emerging molecular imaging technology in recent years. Compared with other optical molecular imaging technologies, FMI technology has the characteristics of a wide variety of probes, high signal intensity, rich collection of information, and real-time in vivo imaging. FMI technology is widely used in research related to in vivo imaging of small animals. Fluorescence Molecular Tomography (FMT) is based on FMI technology, combined with structural tomography technology (such as X-ray computed tomography, nuclear magnetic resonance imaging, etc.) to generate three-dimensional images of fluorescence in the body, so as to accurately locate and target Biological tissues, and obtain the three-dimensional intensity distri...

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Problems solved by technology

However, these optical parameters need to be measured through in vitro experiments. The optical properties are prone to change in in vitro experiments, and it is difficult to accurately obtain the optical parameters of organs.

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