Method and apparatus for performing tomosynthesis

• US 6,256,370 B1
• Filed: 01/24/2000
• Issued: 07/03/2001
• Est. Priority Date: 01/24/2000
• Status: Expired due to Fees

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Yavuz, Mehmet
• Primary Examiner(s): BRUCE, DAVID VERNON
• Application Number:
  US09/489,896
• Time in Patent Office: 526 Days
• Field of Search: 378/4, 378/15, 378/2, 378/22, 378/901
• US Class Current: 378/22
• CPC Class Codes: G01N 2223/419 computed tomograph
• CPC Class Codes: G01N 23/044 using laminography or tomosynthesis
• CPC Class Codes: G01N 23/046 using tomography, e.g. computed tomography [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 2211/436 Limited angle
• CPC Class Codes: Y10S 378/901 Computer tomography program or processor

Abstract

A method and an apparatus are provided that enable x-ray projection data acquired by a tomosynthesis system to be transformed into a form as if it had been acquired by a computed tomography (CT) detector. As the x-ray projection data is acquired by a tomosynthesis detector of the tomosynthesis system, the projection data is projected onto a virtual CT detector. The transformed data is then processed to associate virtual pixels of the virtual CT detector with coordinates on the tomosynthesis detector. The intensity values of the pixels of the tomosynthesis detector are then used to interpolate the intensity values of the corresponding virtual pixels of the virtual CT detector. The intensity values of the virtual pixels of the virtual CT detector may then be processed in accordance with a CT reconstruction algorithm to reconstruct the image. Thus, the present invention enables CT reconstruction algorithms to be used to reconstruct data acquired by a tomosynthesis system, which greatly improves the quality of images reconstructed from image data acquired by a tomosynthesis system.

Claims

1. An apparatus for reconstructing an image of an object from a plurality of x-ray projection images of the object, the x-ray projection images being acquired by a tomosynthesis system, the tomosynthesis system comprising an x-ray source and a tomosynthesis detector, the x-ray source projecting x-rays through the object, the tomosynthesis detector detecting x-rays that pass through the object, the tomosynthesis detector comprising a plurality of pixels, each pixel having an intensity value associated therewith, the tomosynthesis detector generating projection data in response to the x-rays impinging thereon, the projection data corresponding to the intensity values, the tomosynthesis system producing motion of the x-ray source with respect to the object, the apparatus comprising:

logic configured to receive the projection data generated by the tomosynthesis detector, said logic being configured to project the projection data generated by the tomosynthesis detector onto a virtual computed tomography (CT) detector, the virtual CT detector comprising a plurality of virtual pixels, said logic determining intensity values for the virtual pixels based on the intensity values associated with the pixels of the tomosynthesis detector, and wherein said logic performs a CT reconstruction algorithm that processes the intensity values of the virtual pixels to thereby reconstruct an image of the object.

2. The apparatus of claim 1, wherein said logic is a computer and wherein the computer determines the intensity values of the virtual pixels by interpolating intensity values of pixels of the tomosynthesis detector.

3. The apparatus of claim 1, wherein said logic projects the projection data onto the virtual CT detector by determining spatial coordinates of the x-ray source at particular locations of the x-ray source, by determining spatial coordinates of the virtual pixels, by associating coordinates on the tomosynthesis detector with virtual pixels of the virtual VCT detector, and by interpolating intensity values of the tomosynthesis detector pixels to compute intensity values of associated virtual pixels of the virtual VCT detector.

4. An apparatus for reconstructing an image of an object from a plurality of x-ray projection images of the object, the x-ray projection images being acquired by a tomosynthesis system, the tomosynthesis system comprising an x-ray source and a tomosynthesis detector, the x-ray source projecting x-rays through the object, the tomosynthesis detector detecting x-rays that pass through the object, the tomosynthesis detector comprising a plurality of pixels, each pixel having an intensity value associated therewith, the tomosynthesis detector generating projection data in response to the x-rays impinging thereon, the projection data corresponding to the intensity values, the tomosynthesis system producing rotational motion of the x-ray source with respect to the object over a particular angular range that is less than 360°

, the apparatus comprising;

logic configured to receive the projection data generated by the tomosynthesis detector, said logic being configured to project the projection data generated by the tomosynthesis detector onto a virtual computed tomography (CT) detector, the virtual CT detector comprising a plurality of virtual pixels, said logic determining intensity values for the virtual pixels based on the intensity values associated with the pixels of the tomosynthesis detector, and wherein said logic performs a CT reconstruction algorithm that processes the intensity values of the virtual pixels to thereby reconstruct an image of the object.

5. The apparatus of claim 4, wherein said logic is a computer and wherein the computer determines the intensity values of the virtual pixels by interpolating intensity values of pixels of the tomosynthesis detector.

6. The apparatus of claim 4, wherein said logic projects the projection data onto the virtual CT detector by determining spatial coordinates of the x-ray source at particular locations of the x-ray source, by determining spatial coordinates of the virtual pixels, by associating coordinates on the tomosynthesis detector with virtual pixels of the virtual VCT detector, and by interpolating intensity values of the tomosynthesis detector pixels to compute intensity values of associated virtual pixels of the virtual VCT detector.

7. A tomosynthesis system for reconstructing an image of an object from a plurality of x-ray projection images of the object, the x-ray projection images being acquired by the tomosynthesis system, the tomosynthesis system comprising:

an x-ray source, the x-ray source projecting x-rays through the object;

a tomosynthesis detector, the tomosynthesis detector detecting x-rays that pass through the object, the tomosynthesis detector comprising a plurality of pixels, each pixel having an intensity value associated therewith, the tomosynthesis detector generating projection data in response to the x-rays impinging thereon, the projection data corresponding to the intensity values, the tomosynthesis system producing motion of the x-ray source with respect to the object; and

a computer, the computer receiving the projection data generated by the tomosynthesis detector, the computer being configured to project the projection data generated by the tomosynthesis detector onto a virtual computed tomography (CT) detector, the virtual CT detector comprising a plurality of virtual pixels, the computer determining intensity values for the virtual pixels based on the intensity values associated with the pixels of the tomosynthesis detector, and wherein the computer performs a CT reconstruction algorithm that processes the intensity values of the virtual pixels to thereby reconstruct an image of the object.

8. The tomosynthesis system of claim 7, wherein the computer determines the intensity values of the virtual pixels by interpolating intensity values of pixels of the tomosynthesis detector.

9. The tomosynthesis system of claim 7, wherein the computer projects the projection data onto the virtual CT detector by determining spatial coordinates of the x-ray source at particular locations of the x-ray source, by determining spatial coordinates of the virtual pixels, by associating coordinates on the tomosynthesis detector with virtual pixels of the virtual VCT detector, and by interpolating intensity values of the tomosynthesis detector pixels to compute intensity values of associated virtual pixels of the virtual VCT detector.

10. A tomosynthesis system for reconstructing an image of an object from a plurality of x-ray projection images of the object, the x-ray projection images being acquired by the tomosynthesis system, the tomosynthesis system comprising:

an x-ray source, the x-ray source projecting x-rays through the object;

a tomosynthesis detector, the tomosynthesis detector detecting x-rays that pass through the object, the tomosynthesis detector comprising a plurality of pixels, each pixel having an intensity value associated therewith, the tomosynthesis detector generating projection data in response to the x-rays impinging thereon, the projection data corresponding to the intensity values, the tomosynthesis system producing rotational motion of the x-ray source with respect to the object over a particular angular range that is less than 360°

; and

a computer, the computer receiving the projection data generated by the tomosynthesis detector, the computer being configured to project the projection data generated by the tomosynthesis detector onto a virtual computed tomography (CT) detector, the virtual CT detector comprising a plurality of virtual pixels, the computer determining intensity values for the virtual pixels based on the intensity values associated with the pixels of the tomosynthesis detector, and wherein the computer performs a CT reconstruction algorithm that processes the intensity values of the virtual pixels to thereby reconstruct an image of the object.

11. The tomosynthesis system of claim 10, wherein the computer determines the intensity values of the virtual pixels by interpolating intensity values of pixels of the tomosynthesis detector.

12. The tomosynthesis system of claim 10, wherein the computer projects the projection data onto the virtual CT detector by determining spatial coordinates of the x-ray source at particular locations of the simulated movement of the x-ray source, by determining spatial coordinates of the virtual pixels, by associating coordinates on the tomosynthesis detector with virtual pixels of the virtual VCT detector, and by interpolating intensity values of the tomosynthesis detector pixels to compute intensity values of associated virtual pixels of the virtual VCT detector.

13. A method for reconstructing an image of an object from x-ray projection data, the method comprising the steps of:

acquiring the x-ray projection data with a tomosynthesis system, the tomosynthesis system comprising an x-ray source and a tomosynthesis detector, the tomosynthesis detector comprising a plurality of pixels, each pixel having an intensity value, the x-ray source projecting x-rays through an object being imaged, the tomosynthesis detector detecting x-rays that pass through the object, the detector generating the projection data in response to the x-rays impinging thereon, the tomosynthesis system producing motion of the x-ray source with respect to the object;

projecting the projection data generated by the tomosynthesis detector onto a virtual computed tomography (CT) detector, the virtual CT detector comprising a plurality of virtual pixels;

determining intensity values for the virtual pixels based on the intensity values associated with the pixels of the tomosynthesis detector; and

processing the intensity values of the virtual pixels in accordance with a CT reconstruction algorithm to thereby reconstruct an image of the object.

14. The method of claim 13, wherein the step of determining intensity values for the virtual pixels is performed by interpolating intensity values of pixels of the tomosynthesis detector to obtain interpolated intensity values and assigning the interpolated intensity values to corresponding virtual pixels of the virtual CT detector.

15. The method of claim 14, wherein the step of projecting the projection data includes the steps of:

determining spatial coordinates of the x-ray source at particular locations of the x-ray source;

determining spatial coordinates of the virtual pixels; and

associating coordinates on the tomosynthesis detector with virtual pixels of the virtual VCT detector.

16. A method for reconstructing an image of an object from x-ray projection data, the method comprising the steps of:

acquiring the x-ray projection data with a tomosynthesis system, the tomosynthesis system comprising an x-ray source and a tomosynthesis detector, the tomosynthesis detector comprising a plurality of pixels, each pixel having an intensity value, the x-ray source projecting x-rays through an object being imaged, the tomosynthesis detector detecting x-rays that pass through the object, the detector generating the projection data in response to the x-rays impinging thereon, the tomosynthesis system producing rotational motion of the x-ray source with respect to the object over a particular angular range that is less than 360°

;

projecting the projection data generated by the tomosynthesis detector onto a virtual computed tomography (CT) detector, the virtual CT detector comprising a plurality of virtual pixels;

determining intensity values for the virtual pixels based on the intensity values associated with the pixels of the tomosynthesis detector; and

processing the intensity values of the virtual pixels in accordance with a CT reconstruction algorithm to thereby reconstruct an image of the object.

17. The method of claim 16, wherein the step of determining intensity values for the virtual pixels is performed by interpolating intensity values of pixels of the tomosynthesis detector to obtain interpolated intensity values and assigning the interpolated intensity values to corresponding virtual pixels of the virtual CT detector.

18. The method of claim 17, wherein the step of projecting the projection data includes the steps of:

determining spatial coordinates of the x-ray source at particular locations of the tomosynthesis detector;

determining spatial coordinates of the virtual pixels; and

associating coordinates on the tomosynthesis detector with virtual pixels of the virtual VCT detector.

19. A computer program for reconstructing an image of an object from x-ray projection data, the projection data being acquired by a tomosynthesis system, the tomosynthesis system comprising an x-ray source and a tomosynthesis detector, the x-ray source projecting x-rays through the object, the tomosynthesis detector detecting x-rays that pass through the object, the tomosynthesis detector comprising a plurality of pixels, each pixel having an intensity value associated therewith, the tomosynthesis detector generating projection data in response to the x-rays impinging thereon, the projection data corresponding to the intensity values, wherein the tomosynthesis system produces motion of the x-ray source with respect to the object, the program being embodied on a computer-readable medium, the program comprising:

a first routine, the first routine projecting the projection data generated by the tomosynthesis detector onto a virtual computed tomography (CT) detector, the virtual CT detector comprising a plurality of virtual pixels;

a second routine, the second routine determining intensity values for the virtual pixels based on the intensity values associated with the pixels of the tomosynthesis detector; and

a third routine, the third routine processing the intensity values of the virtual pixels in accordance with a CT reconstruction algorithm to thereby reconstruct an image of the object.

20. The computer program of claim 19, wherein the first routine comprises:

a first code segment, the first code segment determining spatial coordinates of the x-ray source at particular locations of the x-ray source;

a second code segment, the second code segment determining spatial coordinates of the virtual pixels and of the pixels of the tomosynthesis detector; and

a third code segment, the third code segment associating coordinates on the tomosynthesis detector with virtual pixels of the virtual VCT detector.

21. The computer program of claim 19, wherein said second routine comprises code that determines intensity values for the virtual pixels by interpolating intensity values of pixels of the tomosynthesis detector to obtain interpolated intensity values and by assigning the interpolated intensity values to corresponding virtual pixels of the virtual CT detector.

24. The computer program of claim 19, wherein said second routine comprises code that determines intensity values for the virtual pixels by interpolating intensity values of pixels of the tomosynthesis detector to obtain interpolated intensity values and by assigning the interpolated intensity values to corresponding virtual pixels of the virtual CT detector.

22. A computer program for reconstructing an image of an object from x-ray projection data, the projection data being acquired by a tomosynthesis system, the tomosynthesis system comprising an x-ray source and a tomosynthesis detector, the x-ray source projecting x-rays through the object, the tomosynthesis detector detecting x-rays that pass through the object, the tomosynthesis detector comprising a plurality of pixels, each pixel having an intensity value associated therewith, the tomosynthesis detector generating projection data in response to the x-rays impinging thereon, the projection data corresponding to the intensity values, wherein the tomosynthesis system produces rotational motion of the x-ray source with respect to the object over a particular angular range that is less than 360°

, the program being embodied on a computer-readable medium, the program comprising;

a first routine, the first routine projecting the projection data generated by the tomosynthesis detector onto a virtual computed tomography (CT) detector, the virtual CT detector comprising a plurality of virtual pixels;

a second routine, the second routine determining intensity values for the virtual pixels based on the intensity values associated with the pixels of the tomosynthesis detector; and

a third routine, the third routine processing the intensity values of the virtual pixels in accordance with a CT reconstruction algorithm to thereby reconstruct an image of the object.

23. The computer program of claim 22, wherein said first routine comprises:

a first code segment, the first code segment determining spatial coordinates of the x-ray source at particular locations of the x-ray source;

a second code segment, the second code segment determining spatial coordinates of the virtual pixels and of the pixels of the tomosynthesis detector; and

a third code segment, the third code segment associating coordinates on the tomosynthesis detector with virtual pixels of the virtual VCT detector.