Artifact correction for highly attenuating objects

• US 6,035,012 A
• Filed: 05/14/1998
• Issued: 03/07/2000
• Est. Priority Date: 05/14/1998
• Status: Expired due to Term

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Hsieh, Jiang
• Primary Examiner(s): Bruce, David Vernon
• Application Number:
  US09/078,938
• Time in Patent Office: 663 Days
• Field of Search: 378/4, 378/8, 378/901, 382/131
• US Class Current: 378/4
• CPC Class Codes: A61B 6/027 characterised by the use of a particular data acquisition trajectory, e.g. helical or spiral
• CPC Class Codes: A61B 6/5258 involving detection or reduction of artifacts or noise
• CPC Class Codes: G06T 11/008 Specific post-processing after tomographic reconstruction, e.g. voxelisation, metal artifact correction
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 5/73 Deblurring; Sharpening
• CPC Class Codes: Y10S 378/901 Computer tomography program or processor

Abstract

The present invention, in one form, is a method for correcting for artifacts caused by highly attenuating objects in a CT image data using a correction algorithm. In accordance with one embodiment of the algorithm, the highly attenuating objects are identified in the image data using the CT numbers from the image data. The segmented image data for each highly attenuating material are used to produce separate component images for each material. The component image data for each material is then separately forward projected to generate projection data for each material. The projection data for each material is then adjusted for the attenuation characteristic of the material to generate projection error data for each material. The resulting projection error data are then filtered and backprojected to produce error-only image data. The error-only image data are then scaled and combined with the original image data to remove the highly attenuating object artifacts.

Claims

1. A method of correcting for artifacts caused by highly attenuating objects in image data, the image data collected in a computed tomography system, said method comprising the steps of:

determining an attenuation characteristic for each highly attenuating material of the highly attenuating objects;

identifying the highly attenuating objects in the image; and

generating error-only image data for each highly attenuating object.

2. A method in accordance with claim 1 wherein identifying the highly attenuating objects comprises the steps of:

segmenting the image data into material classes; and

generating a membership function for each material class.

3. A method in accordance with claim 1 wherein generating error-only image data for each highly attenuating object comprises the step of generating separate component image data for each highly attenuating material.

4. A method in accordance with claim 3 wherein generating separate component image data comprises the step of multiplying the image data by each material class membership function.

5. A method in accordance with claim 3 wherein generating error-only image data for each highly attenuating object further comprises the steps of:

generating projection data by forward projecting the component image of each highly attenuating material; and

generating projection error data by adjusting the projection data.

6. A method in accordance with claim 5 wherein generating projection error data by adjusting the projection data comprises the step of adjusting the projection data by the attenuation characteristic of each highly attenuating material.

7. A method in accordance with claim 6 wherein adjusting the projection data by the attenuation characteristic of each highly attenuating material comprises the steps of:

using operator supplied data to identify the highly attenuating materials; and

adjusting the projection data by pre-defined attenuation characteristics based on the identified highly attenuating materials.

8. A method in accordance with claim 7 wherein using the operator supplied data to identify the highly attenuating materials comprises the step of identifying the type of scan to be performed.

9. A method in accordance with claim 5 wherein generating error only image from the projection data comprises the steps of:

filtering the projection error data for each highly attenuating material; and

backprojecting the filtered projection error data.

10. A method in accordance with claim 5 further comprising the step of combining the projection data for each highly attenuating material prior to generating the projection data.

11. A method in accordance with claim 1 further comprising the step of scaling the error-only image data for each highly attenuating material.

12. A method in accordance with claim 11 further comprising the step of generating a corrected image by adding the scaled error-only image data and the image data.

13. A method in accordance with claim 1 wherein the image data collected in the computed tomography system includes image data from a plurality of slices and wherein determining the attenuation characteristic for each highly attenuating material comprises the steps of:

comparing image data from a first slice to image data from a second slice; and

adjusting the attenuation characteristic for each highly attenuating material based on the comparison of the image data from the slices.

14. A method in accordance with claim 13 wherein adjusting the attenuation characteristic based on the comparison of the image data from the slices comprises the steps of:

determining whether the variation between the first slice image data and the second slice image data is within a valid range; and

if the variation is within the valid range, then adjusting the attenuation characteristic of the highly attenuating material.

15. A system for correcting for artifacts caused by highly attenuating objects in image data, the image data collected in a tomography scan, said system configured to:

determine an attenuation characteristic for each material of the highly attenuating objects;

identify the highly attenuating objects in the image data; and

generate error-only image data for each high attenuating object.

16. A system in accordance with claim 15 wherein to identify highly attenuating objects, said system is configured to:

segment the image data into material classes;

generate a membership function for each material class.

17. A system in accordance with claim 15 wherein to generate error-only image data for each highly attenuating object said system is configured to generate a separate component image for each highly attenuating material.

18. A system in accordance with claim 17 wherein to generate the separate component images said system is configured to multiply the image data by each material class membership function.

19. A system in accordance with claim 17 wherein to generate error-only image data for each highly attenuating object, said system is configured to:

generate projection data by forward projecting the component image of each highly attenuating material; and

adjust the projection data to generate projection error data.

20. A system in accordance with claim 19 wherein to adjust the projection data to generate projection error data, said system is configured to adjust the projection data by the attenuation characteristic of each highly attenuating material.

21. A system in accordance with claim 20 wherein to adjust the projection data by the attenuation characteristic of each highly attenuating material, said system is configured to:

use operator supplied data to identify the highly attenuating materials; and

adjust the projection data by pre-defined attenuation characteristics based on the identified highly attenuating materials.

22. A system in accordance with claim 21 wherein to use the operator supplied data, the operator identifies the type of scan to be performed.

23. A system in accordance with claim 19 wherein to generate projection error data by adjusting the projection data, said system is configured to:

filter the projection error data for each highly attenuating material; and

backproject the filtered projection error data.

24. A system in accordance with claim 19 further configured to combine the projection data for each highly attenuating material prior to generating the projection data.

25. A system in accordance with claim 24 further configured to scale the error-only image data for each highly attenuating material.

26. A system in accordance with claim 25 further configured to generate a corrected image by adding the scaled error-only image data and the image data.

27. A system in accordance with claim 15 wherein the image data collected in the tomography scan includes image data from a plurality of slices and wherein to determine the attenuation characteristic for each highly attenuating material said system is configured to:

compare image data from a first slice to image data from a second slice; and

adjust the attenuation characteristic for each highly attenuating material based on the comparison of the image data from the slices.

28. A system in accordance with claim 27 wherein to adjust the attenuation characteristic based on the comparison of the image data from the slices, said system is configured to:

determine whether the variation between the first slice image data and the second slice image data is within a valid range; and

if the variation is within the valid range, then adjust the attenuation characteristic of the highly attenuating material.

29. A system in accordance with claim 15 further configured to generate a corrected image.