Image artifact removing method for digital tomography system

A tomography, digital technology, applied in the field of image processing of medical imaging
CN107492132AActive Publication Date: 2017-12-19SOUTHERN MEDICAL UNIVERSITY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHERN MEDICAL UNIVERSITY
Publication Date
2017-12-19

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Abstract

The invention provides an image artifact removing method for a digital tomography system. The method comprises the steps that A1 the original projection data y of the digital tomography system are acquired; A2 the original projection data y are divided; A3 high attenuation material projection data yHighAtt generate mask data yHighAttMask; A4 the original projection data y are filtered; A5 soft tissue projection data yTissue are reconstructed to acquire a soft tissue reconstruction image mu Tissue, and the high attenuation material projection data yHighAttFiltered are reconstructed to acquire a high attenuation material reconstruction image mu HighAtt; and A6 a final image is acquired, and specifically the total high attenuation material reconstruction image mu HighAtt-FreeArtifacts without artifacts and the soft tissue reconstruction image mu Tissue are summated to acquire the final artifact-removed image data mu.
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Description

technical field

[0001] The invention relates to the technical field of image processing of medical images, in particular to an image artifact removal method of a digital tomography system. Background technique

[0002] In the presence of highly attenuating material such as guide needles inserted during biopsy or large clusters of calcifications, severe artifacts can appear in the reconstructed images of digital tomography systems. There are mainly two different types of artifacts. The first type is caused by Stripe artifacts appearing at the edge of high-attenuation materials caused by beam hardening and limited-angle sampling; the second type is high-attenuation material artifacts caused by sampling angle and sampling geometry, that is, high-attenuation materials should only appear in a certain reconstruction image layer, but this high attenuation material also appears in other reconstruction layers, and the geometry of this high attenuation material is distorted in other r...

Claims

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