CT beam sclerosis correcting method based on original projection sine diagram

Abstract

The CT beam hardening correction method based on primitive projection sonogram includes the following several steps: (1) making trisubstituted CT scanning, and obtaining primitive projection sonogram arranged into matrix; (2) making dark current and discordance correction of primitive projection sonogram; (3) searching minimum value of every line pixel projection value of primitive projection sonogram; (4) defining a group of positive real number correction coefficient less than 1; (5) subtracting the product of the correspondent line minimum value obtained by step (3) and correspondent line correction coefficient obtained by step (4) from the projection value of every line pixel of projection sonogram and implementing projection beam hardening correction of all the lines; and (6) feeding the corrected projection sonogram into CT reconstructed dynamic library.

Description

technical field [0001] The invention relates to a CT beam hardening correction method, in particular to a CT beam hardening correction method based on an original projected sinogram, and belongs to the CT technical field. Background technique [0002] In the X-ray CT system, the X-ray source emits X-rays, which pass through a certain cross-section of the detected object from different angles, and the detector placed opposite the ray source receives them at corresponding angles, and then attenuates the rays to different degrees according to each angle. , using a certain reconstruction algorithm and computer operations to reconstruct the ray attenuation coefficient distribution mapping image of the detected section of the object, so as to realize the reconstruction of the image by projection and non-destructively reproduce the medium density, composition and structural shape of the object in the section. feature. [0003] The CT reconstruction algorithm assumes that the X-ray...

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Problems solved by technology

Under certain conditions, this method can produce a good correction effect on objects composed of a single material, but it has the following defects: (1) The correction procedure is cumbersome, and it needs to be modeled, scanned and calculated separately for different scanning objects; (2) The validity of the correction model depends on the scanning conditions. If the conditions change, the modeling scan and calculation need to be re-executed; (3) The correction model is affected by noise, and the signal-to-noise ratio of the corrected image decreases; (4) The corrected image must be scanned by a single material composition

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