X-ray continuous energy spectrum determination method and device, electronic equipment and storage medium

Abstract

The invention discloses an X-ray continuous energy spectrum determination method and device, intelligent equipment and a storage medium, and the method comprises the steps of obtaining the corresponding relation between X-ray energy spectrum data and energy, and building an initial continuous energy spectrum model based on the corresponding relation; discretizing the initial continuous energy spectrum model to obtain a preset number of discrete energy spectrum functions; acquiring the preset number of single-energy simulation PDD matrix data and measurement PDD matrix data of a preset range continuous energy spectrum based on different underwater depth sequences; determining each energy spectrum coefficient in the initial continuous energy spectrum model based on the discrete energy spectrum function, the simulated PDD matrix data and the measured PDD matrix data to obtain a target continuous energy spectrum model; and obtaining a to-be-estimated continuous energy range, and inputtingthe energy range into the target continuous energy spectrum function to obtain a continuous energy spectrum corresponding to the continuous energy range. The continuous energy spectrum can be simply,conveniently and rapidly acquired, and the energy spectrum acquisition rate is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of computer imaging, and in particular to a method, device, smart device, and storage medium for determining an X-ray continuum. Background technique [0002] The energy spectrum information of X-ray photon beam plays an important role in the quantitative analysis of CT images, the reconstruction of energy spectrum CT images and the calculation of CT radiation dose. [0003] At present, the commonly used indirect estimation methods for obtaining X-ray energy spectrum can be divided into empirical type, semi-empirical type and Monte Carlo simulation type. Among them, the empirical energy spectrum estimation is based on the polynomial fitting method of the actual energy spectrum information, the calculation speed is fast but the analysis of the physical mechanism is lacking; the semi-empirical energy spectrum estimation is the indirect estimation using the X-ray transmission data measured...

AI Technical Summary

Problems solved by technology

Among them, the empirical energy spectrum estimation is based on the polynomial fitting method of the actual energy spectrum information, the calculation speed is fast but the analysis of the physical mechanism is lacking; the semi-empirical energy spectrum estimation is the indirect estimation using the X-ray transmission data measured by the phantom device , need to deduce the physical process, the workload is heavy, and the time cost is high; the energy spectrum model based on Monte Carlo simulation needs to use internal structural information such as X-ray generating devices that are not easy to obtain in clinical practice, and the work is difficult

Images