Mesoscopic fluorescence molecular imaging three-dimensional reconstruction method based on 3D-Unet and system thereof
A fluorescence molecular imaging and three-dimensional reconstruction technology, applied in the field of 3D-Unet-based mesoscopic fluorescence molecular imaging three-dimensional reconstruction, can solve the problem of inability to directly obtain the internal spatial information of biological tissues, limitations of reconstruction accuracy and resolution, and ill-posed three-dimensional reconstruction process. and other problems, to achieve the effect of ensuring training accuracy and generalization ability, high robustness and stability, and improving generalization ability
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Embodiment 1
[0046] This embodiment discloses a 3D reconstruction method for mesoscopic fluorescence molecular imaging based on 3D-Unet, including:
[0047] Step 1: Collect the photon flux on the surface of the biological tissue by using an electron multiplying charge-coupled camera (Election Multiplying CCD, EMCCD) to obtain a data set of fluorescence photon intensity measurement on the surface of the biological tissue;
[0048] Step 2: Generate a photon intensity simulation data set with an embedded fluorescent biolabel phantom through computer simulation;
[0049] Step 2.1: Using the optical system parameters that are exactly the same as those of the MFMT optical system, simulate and generate the phantom with embedded biological tags on the computer;
[0050] Step 2.2: Obtain the simulation data of phantom fluorescence photon intensity through the description equation of photon propagation in fluorescence molecular tomography;
[0051] Step 2.2.1: The steady-state photon propagation pr...
Embodiment 2
[0084]The purpose of this embodiment is to provide a 3D reconstruction system for mesoscopic fluorescence molecular imaging based on 3D-Unet.
[0085] In order to achieve the above purpose, this embodiment provides the following technical solution:
[0086] A 3D-Unet-based mesoscopic fluorescence molecular imaging three-dimensional reconstruction system, characterized in that it includes:
[0087] The measurement data acquisition module acquires the photon flux on the surface of the biological tissue, and obtains the measurement data set of the fluorescent photon intensity on the surface of the biological tissue;
[0088] The simulation data acquisition module obtains the photon intensity simulation data set based on the phantom embedded with fluorescent biological labels generated by computer simulation;
[0089] Combining the data acquisition module, mixing the biological tissue surface fluorescence measurement data set with the simulation data set, and selecting a part of ...
Embodiment 3
[0093] The purpose of this embodiment is to provide a computer-readable storage medium.
[0094] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the following steps are performed:
[0095] Obtain the fluorescent photon flux on the surface of biological tissue, and obtain the fluorescence measurement data set on the surface of biological tissue;
[0096] Generate a phantom with embedded fluorescent biological labels based on computer simulation, and obtain a photon intensity simulation data set;
[0097] Mix the biological tissue surface fluorescence measurement data set with the simulation data set, and select a part of it as the training data set;
[0098] Based on the training data set, the training of the 3D-Unet network model is carried out to obtain the model parameters;
[0099] 3D reconstruction of biological labels inside biological tissues at the mesoscopic scale.
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