Grating phase contrast imaging signal extraction method and device, storage medium and electronic equipment
A signal extraction and phase-contrast imaging technology, applied in the field of deep learning, can solve the problems of inability to guarantee displacement accuracy, reduce the radiation dose utilization efficiency of X-ray grating phase-contrast imaging technology, consume a lot of time, etc., and achieve the effect of automatic and fast acquisition
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Embodiment 1
[0044] figure 1 It is a schematic flowchart of a grating phase contrast imaging signal extraction method provided in Embodiment 1 of the present invention. This embodiment is applicable to quickly obtain a signal image of a phase-stepping image with a higher spatial resolution based on a pre-trained signal extraction model. Wherein the device can be realized by software and / or hardware, and generally integrated in electronic equipment. For details, see figure 1 As shown, the method may include the following steps:
[0045] S110. Acquire at least one X-ray phase stepping image.
[0046] S120. Input at least one X-ray phase-stepping image into a pre-trained signal extraction model, and obtain a signal image of at least one X-ray phase-stepping image according to an output result of the signal extraction model.
[0047] Wherein, the signal extraction model is trained according to the standard signal image of the sample image and the simulated phase stepping image of the sample...
Embodiment 2
[0053] figure 2 It is a schematic flowchart of a grating phase contrast imaging signal extraction method provided in Embodiment 2 of the present invention. The technical solution of this embodiment introduces the training process of the signal extraction model in detail on the basis of the above embodiments. Optionally, the training method of the signal extraction model includes: acquiring an original object image, and determining the original object based on preset rules The simulated phase step image of the image; the simulated phase step image of the original object image is input into the initial signal extraction model to obtain a predicted signal image, and the initial signal is adjusted according to the predicted signal image and the standard signal image The network parameters of the model are extracted to obtain the signal extraction model.
[0054] On the basis of the above technical solutions, optionally, the simulated phase stepping images are N phase stepping im...
Embodiment 3
[0073] Figure 6 It is a schematic flowchart of a grating phase contrast imaging signal extraction method provided in Embodiment 2 of the present invention. The technical solution of this embodiment introduces training another initial signal extraction model. Optionally, the training method of the signal extraction model includes: acquiring an original object image, and determining the simulated phase of the original object image based on preset rules stepping image: input the simulated phase stepping image of the original object image into the initial signal extraction model to obtain a predicted signal image, and adjust the network of the initial signal extraction model according to the predicted signal image and the standard signal image parameters to get the signal extraction model.
[0074] On the basis of the above technical solutions, optionally, the simulated phase stepping image is a single phase stepping image, the signal extraction model includes a downsampling sub...
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