Controlled cardiac computed tomography

• US 20070153971A1
• Filed: 12/28/2006
• Published: 07/05/2007
• Est. Priority Date: 12/30/2005
• Status: Abandoned Application

• Current Assignee: Chenglin Wang, Ying Liu
• Original Assignee: Chenglin Wang, Ying Liu
• Inventors: Liu, Ying, Wang, Chenglin
• Application Number:
  US11/646,669
• Publication Number:
  US 20070153971A1
• Time in Patent Office: Days
• US Class Current: 378/8
• 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 6/4085 Cone-beams
• CPC Class Codes: A61B 6/503 for diagnosis of the heart
• CPC Class Codes: A61B 6/508 for non-human patients
• CPC Class Codes: A61B 6/541 involving acquisition triggered by a physiological signal
• CPC Class Codes: A61B 6/583 using calibration phantoms
• CPC Class Codes: G01N 2223/419 computed tomograph
• CPC Class Codes: G01N 2223/612 biological material
• CPC Class Codes: G01N 23/046 using tomography, e.g. computed tomography [CT]

Abstract

Cardiac computed tomography (CT) has been a hot topic for years because of the clinical importance of cardiac diseases and the rapid evolution of CT systems. In this application, we disclose a novel strategy for controlled cardiac CT (CCCT) that may effectively reduce image artifacts due to cardiac and respiratory motions and reduce the scan time. Our approach is radically different from existing ones and is based on controlling the x-ray source rotation velocity and powering status in reference to the cardiac motion. By such a control-based intervention the data acquisition process can be optimized for cardiac CT in the cases of periodic and quasi-periodic cardiac motions. Specifically, we present the corresponding coordination/control schemes for either exact or approximate matches between the ideal and actual source positions.

Claims

1. The controlled cardiac computed tomography (CCCT) methodology and techniques that consist of all or some of the following components:

(i) a method for monitoring and predicting the cardiac motion pattern;

(ii) a method for identifying missing projections needed for a desirable cardiac reconstruction quality;

(iii) a mechanism for steering the x-ray source rotation in reference to the cardiac motion pattern, the data incompleteness and the current source parameters (position, velocity, etc.) for collection of needed projection data;

(iv) a data acquisition system controlled by the said mechanism;

(v) an image reconstruction algorithm that reconstructs cardiac images from the data collected by the said data acquisition system;

2. The methods and techniques described by claim 1 in which the control mechanism uses a constant source rotation velocity but different sets of projection angles for various cardiac levels/states;

3. The methods and techniques described by claim 1 in which the control mechanism uses a variable source rotation velocity for collection of needed projection data;

4. The methods and techniques described by claim 1 in which the control mechanism uses an interpolation based scheme, and is featured by a variable source rotation velocity for collection of needed projection data;

5. The methods and techniques described by claim 1 in which the control mechanism has a variable that balances the scanning time and maximum velocity/acceleration.

6. The methods and techniques described by claim 1 in which the control law is derived according to various motion models:

periodic, quasi-periodic or non-periodic;

7. The methods and techniques described by claim 1 in which the control implementation is based on robust control, adaptive control, optimal control, nonlinear control and/or other types of control methods and techniques;

8. The methods and techniques described by claim 1 in which the data acquisition process uses a circular, helical, saddle curves or other scanning trajectories;

9. The methods and techniques described by claim 1 in which the reconstruction algorithm is analytic and/or iterative (such as filtered backprojection, ART, EM, OSEM);

10. The system that utilizes the methods and techniques described by claim 1;

11. The system defined by claim 10 that utilizes a multi-source/detector design;

12. The system defined by claim 10 that is for CT imaging of a patient;

13. The system defined by claim 10 that is for CT imaging of an animal;

14. The system defined by claim 10 that is for micro-CT imaging of a small animal;

15. The system defined by claim 10 that is based on the rotation of an animal instead of the rotation of the x-ray source(s);

16. The method defined by claim 1 that integrates control and imaging algorithms based on ECG signals or likes in cardiac CT.

17. The method defined by claim 1 that is implemented using a monitoring mechanism and a control mechanism which is manual, semi-automatic, automatic, or in a mixed mode. This combined setup monitors the data completeness status, identifies missing projections, and adjusts the source rotation velocity/acceleration of the scanner to make up these missing projections in an optimal or heuristic way.

18. The system defined by claim 10 that is implemented using a monitoring mechanism and a control mechanism which is manual, semi-automatic, automatic, or in a mixed mode. This combined setup monitors the data completeness status, identifies missing projections, and adjusts the source rotation velocity/acceleration of the scanner to make up these missing projections in an optimal or heuristic way.

19. The method defined by claim 1 except that the beating heart is replaced by another periodic or quasi-periodic moving structure, relevant to another biomedical, industrial application or applications in other areas.

20. The system defined by claim 10 except that the beating heart is replaced by another periodic or quasi-periodic moving structure, relevant to another biomedical, industrial application or applications in other areas.