SYSTEM AND METHOD OF X-RAY DOSE DISTRIBUTION FOR COMPUTED TOMOGRAPHY BASED ON SIMULATION

• US 20150164457A1
• Filed: 12/18/2013
• Published: 06/18/2015
• Est. Priority Date: 12/18/2013
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Nett, Brian E., Nilsen, Roy A., Stevens, Grant M.
• Granted Patent: US 9,795,356 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 6/482 involving multiple energy imaging
• CPC Class Codes: A61B 6/542 involving control of exposure
• CPC Class Codes: A61B 6/545 involving automatic set-up of acquisition parameters
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

An imaging system allows for modification of data acquisition parameters, where the parameters affect dose distribution. The system includes a library of exams, and a computer programmed to obtain a set of scanning parameters for image data acquisition and image reconstruction, obtain scan data from the library of exams that is based on a similarity metric for a patient to be scanned, simulate a new scan of the patient using the obtained scan data and using the obtained set of scanning parameters, and generate a new set of scanning parameters based on the simulation.

Claims

1. An imaging system that allows for modification of data acquisition parameters, where the parameters affect dose distribution, comprising:

a library of exams; and

a computer programmed to;

obtain a set of scanning parameters for image data acquisition and image reconstruction;

obtain scan data from the library of exams that is based on a similarity metric for a patient to be scanned;

simulate a new scan of the patient using the obtained scan data and using the obtained set of scanning parameters; and

generate a new set of scanning parameters based on the simulation.

2. The imaging system of claim 1, wherein the similarity metric is based on one of a 2D scout and a 3D scout.

3. The imaging system of claim 1, wherein the similarity metric is based on one of a patient weight, a body mass index (BMI), and a patient circumference.

4. The imaging system of claim 1, wherein the computer is further programmed to enable optimization of the scanning parameters based on the simulation, and generate the new set of scanning parameters based on the optimization.

5. The imaging system of claim 4, wherein the computer is further programmed to optimize the scanning parameters based on at least one of:

A) dose reduction

B) dose reduction to a particular area of anatomy;

C) object detectability;

D) noise reduction in at least one region;

E) noise uniformity in at least one region; and

F) image quality.

6. The imaging system of claim 4, wherein the computer is further programmed to enable a user to change the scanning parameters, and simulate the new scan using the changed parameters.

7. The imaging system of claim 4, wherein the computer is further programmed to automatically change scanning parameters, and simulate the new scan using the automatically changed parameters.

8. The imaging system of claim 4, wherein the computer is further programmed to request user confirmation of the new scanning parameters, and:

if confirmed, then select the new scanning parameters; and

if not confirmed, then offer the user an opportunity to determine another set of scanning parameters.

9. The imaging system of claim 4, wherein, if confirmed and the patient is scanned with the new set of scanning parameters, the computer is programmed to save results of the scan and the corresponding scanning parameters to the library of exams.

10. The imaging system of claim 1, wherein the computer is further programmed to obtain the set of scanning parameters by requesting a user to select the scanning parameters.

11. A method of optimizing scanning parameters for image data acquisition, comprising:

selecting a scanning protocol for image data acquisition and image reconstruction;

obtaining scan data from a library of exams that is based on a similarity metric for a patient to be scanned;

determining whether the scanning protocol achieves a desired optimization by simulating a scan of the patient that is based on the selected scanning protocol and based on the obtained scan data; and

generating a new scanning protocol based on the optimization.

12. The method of claim 11, wherein the similarity metric is based on:

one of a 2D scout and a 3D scout;

or

one of a patient weight, a body mass index (BMI), and a patient circumference.

13. The method of claim 11, further comprising optimizing the scanning protocol by varying at least one parameter of the scanning protocol and simulating the scan of the patient using the variation of the at least one parameter.

14. The method of claim 13, further comprising determining the optimal dose deposition based at least in part on one of:

A) dose reduction

B) dose reduction to a particular area of anatomy;

C) object detectability;

D) noise reduction in at least one region;

E) noise uniformity in at least one region; and

F) image quality.

15. The method of claim 13, further comprising one of:

varying the at least one parameter of the scanning protocol by enabling a user to manually vary the at least one parameter, and simulating the scan of the patient using the variation of the at least one parameter; and

automatically varying the at least one parameter of the scanning protocol using a computer, and simulating the scan of the patient using the variation of the at least one parameter.

16. The method of claim 15, wherein the method further includes one of:

A) selecting the new scanning protocol, and offering the selected protocol to a user and presenting an opportunity to override the selected protocol and select a different protocol; and

B) presenting results of the simulated scan to the user, and offering the user an opportunity to modify scan parameters in real-time; and

presenting the simulation of the scan to the user so the user can view the modified simulation and modify the scan parameters to generate the new scanning protocol based on the modified simulation.

17. A non-transitory computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to:

select a scanning protocol for image data acquisition and image reconstruction;

obtain scan data from a library of exams that is based on a similarity metric for a patient to be scanned;

determine whether the scanning protocol achieves a desired optimization by simulating a scan of the patient that is based on the selected scanning protocol and based on the obtained scan data; and

generate a new scanning protocol based on the optimization.

18. The non-transitory computer readable storage medium of claim 17, wherein the similarity metric is based on:

one of a 2D scout and a 3D scout;

or

one of a patient weight, a body mass index (BMI), and a patient circumference.

19. The non-transitory computer readable storage medium of claim 17, wherein the computer is further caused to optimize the scanning protocol by varying at least one parameter of the scanning protocol, and simulate the scan of the patient using the variation of the at least one parameter.

20. The non-transitory computer readable storage medium of claim 17, wherein the computer is further caused to:

vary the at least one parameter of the scanning protocol by enabling a user to manually vary the at least one parameter, and simulating the scan of the patient using the variation of the at least one parameter;

or

automatically vary the at least one parameter of the scanning protocol using a computer, and simulating the scan of the patient using the variation of the at least one parameter.