CT data correction method and step test member

Abstract

The invention discloses a CT data correction method; the method uses a step test member to obtain detector dosage nature logarithm values under different equivalent steel thicknesses; the method comprises the following steps: using polynomial fitting to fit a real ray integration curve; solving an ideal ray integration curve; carrying out non-linear corrections for the CT data according to the corresponding relation between two said curves. The method can solve CT data non-linear problems caused by pluripoten ray hardening, ray scattering and detector non-linear physics or system reasons, thusrealizing hardening, scattering and detector non-linear data corrections; the invention also discloses a CT data correction step test member having a plurality of equivalent steel thickness layers, wherein the test member density equals to the standard steel.

Description

Technical field [0001] The invention relates to the technical field of medical imaging, in particular to a CT data correction method. Background technique [0002] At the end of the 19th century, William Roentgen discovered X-rays. After that, the use of X-rays to inspect the internal structure of objects has become an important means of non-destructive testing. With the development of computer technology, the application of computers has gradually penetrated into various disciplines. CT (Computed Tomography) is a new nondestructive testing method formed by the intersection of computer science and high-energy physics. This technology realizes tomographic image scanning and reconstruction of the measured object. And widely used in medical and industrial fields. [0003] Due to the physical characteristics of X-rays or the system itself, CT reconstructed images may have image quality problems, and CT data needs to be corrected. [0004] Due to its electronic components, the detect...

AI Technical Summary

Problems solved by technology

Therefore, the dark field measurement value will affect the CT reconstruction image quality

In the case of X-rays, when each detector in the detector array obtains the same dose of X-rays, its dose value will still show differences, resulting in inconsistencies between detectors

[0005] The existing CT data correction schemes have the following problems: 1) Only dark-field correction is naturally performed on the data, and air correction is a relatively simple correction method, which is less effective in correcting image hardening caused by multi-energy spectrum rays and image problems such as ray scattering. Poor; 2) Lack of wide applicability, data correction can only be performed on specific CT data or specific CT image problems

This problem will seriously affect the quality of CT reconstruction images, so corresponding methods are required for correction

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