Medical diagnostic method and apparatus to control dual energy exposure techniques based on image information

• US 20020075997A1
• Filed: 12/18/2000
• Published: 06/20/2002
• Est. Priority Date: 12/18/2000
• Status: Active Grant

• Current Assignee: GE Medical Systems Global Technology Company LLC (GE Healthcare Technologies, Inc.)
• Original Assignee: GE Medical Systems Global Technology Company LLC (GE Healthcare Technologies, Inc.)
• Inventors: Unger, Christopher David, Kump, Kenneth Scott
• Granted Patent: US 6,501,819 B2
• Time in Patent Office: Days
• US Class Current: 378/98.9
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 6/405 Source units specially adapted to modify characteristics of the beam during the data acquisition process A61B6/4021, A61B6/4035 take precedence
• CPC Class Codes: A61B 6/482 involving multiple energy imaging
• CPC Class Codes: A61B 6/488 involving pre-scan acquisition
• CPC Class Codes: A61B 6/544 dependent on patient size
• CPC Class Codes: A61B 6/583 using calibration phantoms

Abstract

A preferred embodiment of the present invention provides a method and apparatus for optimized dual energy image acquisition. The system comprises a dual energy medical imaging system, a detector, a user interface, an image segmentation module, a characterization module, and a control module. The method comprises obtaining an image from a first exposure of a patient and segmenting the image into an anatomy of interest. The method further comprises characterizing the segmented anatomy in terms of a set of patient parameters and optimizing a second exposure of the segmented anatomy based upon said anatomy and the characterization of the anatomy. A resulting anatomy image is obtained from analysis of the first and second exposures.

Claims

1. A method for controlling dual energy image acquisition to automatically adjust exposure parameters, said method comprising:

obtaining a first image from a first exposure of a patient, said first image including pixel values representative of a patient anatomy;

segmenting said first image based on said pixel values representative of the anatomy of the patient;

defining a set of patient parameters characterizing the patient anatomy in at least one segmented portion of said first image; and

adjusting exposure settings for a second exposure of the patient anatomy based upon said set of patient parameters.

2. The method of claim 1, further comprising manually selecting an anatomy of interest to be located in said segmented portion.

3. The method of claim 1, further comprising obtaining a second image from said second exposure.

4. The method of claim 1, wherein said first exposure comprises a low dose x-ray positioning exposure.

5. The method of claim 1, wherein said set of patient parameters comprises attenuation of said representative anatomy.

6. The method of claim 1, wherein said set of patient parameters comprises normalized patient data.

7. The method of claim 1, wherein said set of patient parameters comprises a mathematical model of said representative anatomy.

8. The method of claim 1, wherein said set of patient parameters comprises bright and dark regions of said representative anatomy.

9. The method of claim 1, further comprising outputting a resulting anatomy image from an analysis of said first and second images.

10. The method of claim 8, wherein said analysis comprises separating said first and second images to produce the resulting anatomy image.

11. The method of claim 1, wherein said method may be executed in a maximum time of one second.

12. The method of claim 1, further comprising obtaining a preshot image, wherein exposure settings for said first and second exposures are adjusted based on said preshot image.

14. The system of claim 13, wherein said set of patient parameters comprises attenuation of a representative anatomy.

15. The system of claim 13, wherein said set of patient parameters comprises normalized patient data.

16. The system of claim 13, wherein said set of patient parameters comprises a mathematical model of a representative anatomy.

17. The system of claim 13, wherein the set of patient parameters comprises bright and dark areas of a representative anatomy.

18. The system of claim 13, wherein said dual energy medical imaging system adjusts for a low dose positioning exposure.

19. The system of claim 13, wherein said exposure energy comprises x-ray energy.

20. The system of claim 13, wherein said control module further constructs a resulting anatomy image based upon said at least first and second exposures.

21. The system of claim 13, wherein said control module further constructs a resulting anatomy image based upon separation of said at least first and second exposures.

22. The system of claim 13, further comprising an output, said output displaying a resulting anatomy image.

23. The system of claim 13, wherein said dual energy medical imaging system obtains a preshot image and adjusts a first exposure dosage level and a second exposure dosage level based on said preshot image.

13. A system for controlling dual energy image acquisition, said system comprising:

a dual energy medical imaging apparatus for performing a select one of multiple exposure dosage levels and techniques, said dual energy medical imaging system acquiring at least first and second exposures;

a detector converting said first and second exposures into first and second digital images;

a user interface setting image acquisition parameters;

an image segmentation module identifying an anatomy of interest in said first digital image;

a characterization module defining a set of patient parameters characterizing said anatomy of interest; and

a control module adjusting at least one of said exposure dosage levels and techniques performed by said dual energy image apparatus during said second exposure based on said set of patient parameters.

24. A method for controlling multiple exposure image acquisition, said method comprising:

obtaining an image from an exposure of a patient, said image including pixel values representative of a patient anatomy;

segmenting said image based on said pixel values representative of the anatomy of the patient;

defining a set of patient parameters characterizing the patient anatomy in at least one segmented portion of said image;

adjusting exposure settings for a subsequent exposure of the patient anatomy based upon said set of patient parameters; and

obtaining at least one subsequent exposures of the patient anatomy, each of said exposures obtained using exposure settings adjusted based on characterization of a previous image.