Method and system of CT data correction

• US 7,260,172 B2
• Filed: 01/25/2007
• Issued: 08/21/2007
• Est. Priority Date: 11/24/2004
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Ruimi, David, Du, Yanfeng, Wu, Xiaoye, Tkaczyk, John Eric, Meirav, Oded, Drapkin, Evgeny, Arenson, Jerome Stephen, Greenberg, Lev
• Primary Examiner(s): Song; Hoon
• Application Number:
  US11/627,072
• Publication Number:
  US 20070116173A1
• Time in Patent Office: 208 Days
• Field of Search: 378/4, 378/8, 378/16, 378/18, 378/20, 378/207, 378/901
• US Class Current: 378/18
• 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 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 6/4241 using energy resolving detectors, e.g. photon counting
• CPC Class Codes: A61B 6/482 involving multiple energy imaging
• CPC Class Codes: A61B 6/583 using calibration phantoms
• CPC Class Codes: G01T 1/1644 using an array of optically separate scintillation elements permitting direct location of scintillations G01T1/1645 takes precedence
• CPC Class Codes: G01T 1/1647 Processing of scintigraphic data not related to a particular imaging system G01T1/2992
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 2207/30112 Baggage; Luggage; Suitcase
• CPC Class Codes: G06T 5/20 using local operators
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: Y10S 378/901 Computer tomography program or processor

Abstract

An adaptive CT data acquisition system and technique is presented whereby radiation emitted for CT data acquisition is dynamically controlled to limit exposure to those detectors of a CT detector assembly that may be particularly susceptible to saturation during a given data acquisition. The data acquisition technique recognizes that for a given subject size and position that pre-subject filtering and collimating of a radiation beam may be insufficient to completely prevent detector saturation. Therefore, the present invention includes implementation of a number of CT data correction techniques for correcting otherwise unusable data of a saturated CT detector. These data correction techniques include a nearest neighbor correction, off-centered phantom correction, off-centered synthetic data correction, scout data correction, planar radiogram correction, and a number of others. The invention is applicable with energy discriminating CT systems as well as with conventional CT systems and other multi-energy CT systems, such as dual kVp-based systems.

Claims

1. A CT imaging system comprising:

a rotatable gantry having an opening therein to receive a subject to be scanned;

an x-ray source disposed within the rotatable gantry and configured to project a fan beam of x-rays at the subject during CT data acquisition; and

a computer programmed to;

acquire CT data that includes at least normal data and saturated data from a subject;

compare a profile of the normal data to an off-centered phantom;

generate data from the off-centered phantom; and

correct the saturated data using the generated data.

2. The CT imaging system of claim 1 wherein the off-centered phantom profile includes one of an off-centered water and synthetic water data profile.

3. The CT imaging system of claim 1 wherein the off-centered phantom profile includes one of an off-centered cylindrical object and synthetic cylindrical object profile.

4. The CT imaging system of claim 1 wherein the off-centered phantom profile includes one of an off-centered elliptical object and synthetic elliptical object profile.

5. A method of CT data correction comprising the steps of:

acquiring CT data from an object, the CT data including normal data and saturated data;

comparing a profile of the normal data to an off-centered phantom or synthetic data profile; and

correcting for saturation in the data from the comparison.

6. The method of claim 5 further comprising analytically determining a synthetic profile based on the object geometry and material.

7. The method of claim 5 further comprising the steps of:

approximating an object shape and position; and

selecting the off-centered phantom profile from a number of off-centered phantom profiles from the object shape and position;

or

generating the off-centered synthetic data profile from the object shape and position.

8. The method of claim 7 further comprising the steps of:

estimating a line-fit to a last set of non-saturated values of the normal data;

determining a slope and a line intercept of the line-fit; and

determining the off-centered phantom or synthetic data profile that should be selected for correcting saturated portions of the CT data from the slope and the line intercept.

9. The method of claim 8 further comprising the step of:

generating a sinogram from the CT data;

identifying an edge of the sinogram;

determining a degree of curvature at the edge of the sinogram; and

from the degree of curvature, determining a radius of curvature of an edge of the object from which the selected CT data is acquired.

10. The method of claim 9 further comprising the steps of:

determining an initial curvature at the edge of the sinogram;

determining a final curvature at the edge of the sinogram;

determining an average of the initial curvature and the final curvature; and

determining a radius of curvature of the edge of the sinogram from the average.

11. The method of claim 7 further comprising the steps of determining a radius of curvature of an edge of the object from which the normal data is acquired and, from the radius of curvature, determining an extrapolation radius.

12. The method of claim 11 further comprising the step of selecting the off-centered phantom profile from either one of (A) a number of off-centered phantom profiles or (B) generating the synthetic data profile based on the extrapolation radius.

13. The method of claim 7 further comprising the step of determining a center of mass of the object from scout data acquired from the object.

14. The method of claim 13 further comprising the step of carrying out a lateral scout and an AP scout to acquire object size and position information.

15. The method of claim 5 further comprising the steps of:

identifying noisy data; and

applying a filter kernel to the data to generate non-noisy data.

16. The method of claim 15 wherein the step of applying a filter kernel further comprises the steps of:

setting a strength and a range of the filter kernel based on the signal value of the noisy data; and

replacing the noisy data with view correction data.

17. An imaging system comprising:

a rotatable gantry having an opening therein to receive a subject to be scanned;

an x-ray source disposed within the rotatable gantry and configured to project a fan beam of x-rays at the subject during CT data acquisition; and

a computer programmed to;

acquire CT data from an object;

segregate the acquired CT data for a detector element into normal data and corrupted data;

select the normal data;

compare a profile of the normal data to an off-centered phantom or synthetic data profile; and

use the off-centered phantom or synthetic data profile to correct for saturation.

18. The imaging system of claim 17 wherein the computer is further programmed to analytically determine a synthetic profile based on the object shape and position.

19. The imaging system of claim 17 wherein the computer is further programmed to determine an extrapolation radius from a radius of curvature of the object.

20. The imaging system of claim 19 wherein the synthetic profile includes a profile based on an extrapolation radius of the object.