CT image reconstruction of a moving examination object

• US 8,737,701 B2
• Filed: 05/24/2010
• Issued: 05/27/2014
• Est. Priority Date: 05/26/2009
• Status: Active Grant

• Current Assignee: Siemens Healthineers AG (Siemens AG)
• Original Assignee: Siemens AG
• Inventors: Allmendinger, Thomas
• Primary Examiner(s): Gilligan, Luke
• Application Number:
  US12/785,528
• Publication Number:
  US 20100303326A1
• Time in Patent Office: 1,464 Days
• Field of Search: 382/128, 378/8, 378/210
• US Class Current: 382/128
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/33 specially adapted for cooperation with other devices
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 6/4014 arranged in multiple source-detector units
• CPC Class Codes: A61B 6/4441 the rigid structure being a C-arm or U-arm
• CPC Class Codes: A61B 6/481 involving the use of contrast agents
• CPC Class Codes: A61B 6/482 involving multiple energy imaging
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 6/507 for determination of haemodynamic parameters, e.g. perfusion CT
• CPC Class Codes: G06T 11/005 Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
• CPC Class Codes: G06T 2211/412 Dynamic

Abstract

A method is disclosed for reconstructing image data of a moving examination object from measured data, the measured data having been acquired during a rotating movement of a radiation source of a computed tomography system around the examination object. In at least one embodiment, first image data are determined from the measured data. Movement information is determined from the first image data by forming the difference between images. Time instants of little movement of the examination object are determined from the movement information, the determined time instants being dependent on the location or site within the examination object. Finally, second image data are reconstructed taking the determined time instants into account. These data can be output as result images.

Claims

1. A method for reconstructing image data of a moving examination object from measured data, the measured data being acquired during a rotating movement of a radiation source of a computed tomography system around the examination object, the method comprising:

determining, by a computer, first image data from the measured data;

determining movement information by forming a difference between images from the determined first image data;

determining at least,

a first time instant, using at least a first continuous function or a second continuous function, of relatively little movement of a first site within the examination object from the determined movement information, and

a second time instant, using one of the at least a first continuous function and a second continuous function used in determining the first time instant, of relatively little movement of a second site within the examination object from the determined movement information; and

reconstructing second image data, using the measured data corresponding to the determined at least first and second time instants, wherein each of the first and second situ corresponds to a specific axial section through the examination object.

2. The method as claimed in claim 1, wherein the first and second continuous functions are spline functions.

3. The method as claimed in claim 2, wherein each of the spline functions has a plurality of sampling points that are equidistant in the space domain.

4. The method as claimed in claim 1, wherein each of the first and second continuous functions is calculated by minimizing a function containing the movement information.

5. The method as claimed in claim 4, wherein the function that is to be minimized contains at least one of a parameter for limiting the slope and a parameter for limiting the curvature of the at least one function that is to be calculated.

6. The method as claimed in claim 4, wherein the first and second time instants are varied for the purposes of the minimization.

7. The method as claimed in claim 1, wherein the first image data contain images of the entire examination object for each time instant of a movement cycle of the examination object.

8. The method as claimed in claim 1, wherein the movement information indicates how strongly specific sites of the examination object move at specific time instants within a movement cycle of the examination object.

9. The method as claimed in claim 1, wherein the difference is formed between images which represent the same section of the examination object at different times within a movement cycle of the examination object.

10. The method as claimed in claim 9, wherein the difference is formed for different sections of the examination object.

11. The method as claimed in claim 1, wherein the movement information forms a two-dimensional time- and space-dependent matrix.

12. The method as claimed in claim 1, wherein the difference between images is formed by calculating individual differences between an individual image value of a first image and a corresponding individual image value of a second image in each case.

13. The method as claimed in claim 12, wherein the difference between the first and the second image is formed by summing the individual differences.

14. The method as claimed in claim 1, wherein parts of the measured data corresponding to the determined time instants are selected and used for reconstructing the second image data.

15. A computer tomography (CT) system comprising:

a control and computing unit configured to,

determine first image data from measured data, the measured data being acquired during a rotating movement of a radiation source of the CT system around a moving examination object;

determine movement information by forming a difference between images from the determined first image data;

determine at least,

a first time instant, using at least a first continuous function or a second continuous function, of relatively little movement of a first site within the examination object from the determined movement information, and

a second time instant, using one of the at least a first continuous function and a second continuous function used in determining the first time instant, of relatively little movement of a second site within the examination object from the determined movement information; and

reconstruct second image data, using the measured data corresponding to the determined at least first and second time instants, wherein each of the first and second sites corresponds to a specific axial section through the examination object.

16. A non-transitory computer readable medium including a computer program product, the computer program product comprising program code segments, which when executed by a processor, causes the processor to perform functions including:

determining first image data from measured data, the measured data being acquired during a rotating movement of a radiation source of the CT system around a moving examination object;

determining movement information by forming a difference between images from the determined first image data;

determining at least

a first time instant, using at least a first continuous function or a second continuous function, of relatively little movement of a first site within the examination object from the determined movement information, and

a second time instant, using one of the at least a first continuous function and a second continuous function used in determining the first time instant, of relatively little movement of a second site within the examination object from the determined movement information; and

reconstructing second image data, using the measured data corresponding to the determined at least first and second time instants, wherein each of the first and second sites corresponds to a specific axial section through the examination object.

17. The method as claimed in claim 16, wherein each of the first and second continuous functions represents a spline function.

18. The method as claimed in claim 17, wherein each of the spline functions has a plurality of sampling points that are equidistant in the space domain.