SPECT imaging prediction model creation method and device, equipment and storage medium

Abstract

The invention discloses an SPECT imaging prediction model creation method and device, equipment and a storage medium. The method comprises the following steps: acquiring a training set containing a plurality of scanning image groups; wherein each scanning image group comprises a standard acquisition duration SPECT image and a short acquisition duration SPECT image which correspond to each other; performing network construction based on the deep convolutional neural network to obtain a to-be-trained network; and training the to-be-trained network by taking the short acquisition duration SPECT image in the training set as input side training data and taking the standard acquisition duration SPECT image in the training set as output side training data to obtain an SPECT imaging prediction model so that the SPECT image prediction model is used to predict and obtain an SPECT prediction image of the SPECT image with the short acquisition time length under the standard acquisition time length. The SPECT imaging time can be greatly shortened under the condition that the imaging quality of a medical image is kept.

Description

technical field [0001] The present invention relates to the technical field of SPECT, in particular to a method, device, equipment and storage medium for creating a SPECT imaging prediction model. Background technique [0002] Single-photon emission computed tomography (Single-Photon Emission Computed Tomography phy, SPECT) is a kind of high-energy gamma particles produced by decay in different directions and at the same time during biological metabolism by injecting radioactive isotope-labeled compounds into the organism. A medical imaging technology that obtains projection signals and performs imaging through computational reconstruction. Since the signal collection depends on the half-life of the radioisotope and the number of signal collection angles, SPECT images face problems such as long imaging time in clinical applications and certain radiation damage to the human body. However, if the imaging angle is reduced or the imaging time is shortened, it will cause imaging ...

AI Technical Summary

Problems solved by technology

Since the signal collection depends on the half-life of the radioisotope and the number of signal collection angles, SPECT images face problems such as long imaging time in clinical applications and certain radiation damage to the human body. However, if the imaging angle is reduced or the imaging time is shortened, it will cause imaging results. It has a series of shortcomings such as low signal-to-noise ratio and easy to generate artifacts that impair image quality

Images