IP Library Granted Patent US 9,320,488
Granted Patent B2
US 9,320,488 · App. 14/179,301 · Granted Apr 26, 2016

Method and device for correction of movement artifacts in a computed tomography image

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Quick Facts
Patent No.
US 9,320,488
App. No.
14/179,301
Granted
Apr 26, 2016
Kind
B2
Abstract

A method for correction of movement artifacts in a computed tomography image that is reconstructed from a plurality of computed tomography projection images is provided. Using all projection images of the plurality of computed tomography projection images, an average position of an examination area of an examination object in the reconstructed image volume is determined by a global optimization method. With the aid of the at least one image volume block that is formed from predeterminable projection images, the movement of the examination area of the examination object in the at least one image volume block is estimated by an optimization method. A corresponding device for correction of movement artifacts in a computed tomography image is also provided.

Claims (28)

1. A method for correction of movement artifacts in a computed tomography image that is reconstructed from a plurality of computed tomography projection images, the method comprising:

determining, by a global optimization method with a processor, an average position of an examination area of an examination object in the reconstructed image volume using all projection images of the plurality of computed tomography projection images; and

estimating, with the aid of at least one image volume block that is formed from predeterminable projection images, a movement of the examination area of the examination object in the at least one image volume block using an optimization method.

2. The method of claim 1 , wherein the average position of the examination area of the examination object determined by the global optimization method is included in the reconstructed image volume in selection of the predeterminable projection images of the at least one image volume block.

3. The method of claim 1 , wherein the at least one image volume block comprises at least two image volume blocks that are formed from predeterminable projection images, and at least one projection image belongs to the at least two image volume blocks.

4. The method of claim 1 , wherein the predeterminable projection images of each image volume block of the at least one image volume block are specified indirectly or directly by the result of a user entry.

5. The method of claim 4 , wherein the user entry is a speed of movement, and the predeterminable projection images of the image volume block are consecutive projection images.

6. The method of claim 1 , wherein a measured breathing phase of the examination object, a measured heart phase of the examination object, or the measured breathing phase and the measured heart phase are included in selection of the predeterminable projection images of the at least one image volume block.

7. The method of claim 1 , wherein the estimating is executed repeatedly in the at least one image volume block, and

wherein for each repetition, the at least one image volume block is formed from fewer predeterminable projection images.

8. The method of claim 7 , wherein the repetition is executed until a time when the at least one image volume block includes a single projection image.

9. The method of claim 1 , wherein the entropy of the reconstructed computed tomography image is included in the global optimization method for determining the average position of the examination area of the examination object in the reconstructed image volume, the entropy of the at least one image volume block is included in the optimization method for estimating the movement of the examination area of the examination object in the at least one image volume block, or a combination thereof.

10. The method of claim 1 , wherein the global optimization method, the optimization method, or the global optimization method and the optimization method comprise a gradient descent method.

11. The method of claim 1 , wherein the estimating comprises taking at least two image volume blocks into account,

wherein the at least two image volume blocks overlap, and

wherein a result of the estimation of the movement of the examination area of the examination object of an image volume block of the at least two image volume blocks is included in the estimation of the movement of the examination area of the examination object of a subsequent image volume block of the at least two image volume blocks.

12. The method of claim 1 , wherein the estimations of the movement of the examination area of the examination object of all image volume blocks of the at least one image volume block are included in the correction of movement artifacts of the computed tomography image that is reconstructed from a plurality of computed tomography projection images.

13. The method of claim 1 , wherein the predeterminable projection images of an image volume block of the at least one image volume block are determined by the result of a user entry that defines a region, an organ, or the region and the organ.

14. The method of claim 1 , wherein a histogram analysis of the projection images is included in selection of the predeterminable projection images of an image volume block of the at least one image volume block.

15. A device for correction of movement artifacts in computed tomography images, the device comprising:

a computed tomography device; and

a processor,

wherein the processor is configured to:

receive computed tomography projection images from the computed tomograph;

reconstruct the computed tomography projection images into a computed tomography image; and

correct movement artifacts in the computed tomography image, the correction comprising:

determination of an average position of an examination area of an examination object in the reconstructed image volume using all of the computed tomography projection images; and

estimation, with the aid of at least one image volume block that is formed from predeterminable projection images, a movement of the examination area of the examination object in the at least one image volume block using an optimization method.

Assignments (4)
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE PREVIOUSLY RECORDED AT REEL: 066088 FRAME: 0256. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jan 17, 2024
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 071178/0246 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 20, 2023
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 066088/0256 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2016
From: SIEMENS AKTIENGESELLSCHAFT
To: SIEMENS HEALTHCARE GMBH
Reel/Frame 040656/0054 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 30, 2014
From: KUNZE, HOLGER; KYRIAKOU, YIANNIS
To: SIEMENS AKTIENGESELLSCHAFT
Reel/Frame 033419/0511 →