Method, processor and computed tomography (CT) machine for generating images utilizing high and low sensitivity data collected from a flat panel detector having an extended dynamic range

• US 6,868,138 B2
• Filed: 05/29/2002
• Issued: 03/15/2005
• Est. Priority Date: 05/29/2002
• Status: Expired due to Term

• Current Assignee: Board of Regents of the University of Michigan (University of Michigan)
• Original Assignee: Board of Regents of the University of Michigan (University of Michigan)
• Inventors: Sukovic, Predrag, Clinthorne, Neal H.
• Primary Examiner(s): Church, Craig E.
• Application Number:
  US10/157,282
• Publication Number:
  US 20030223532A1
• Time in Patent Office: 1,021 Days
• Field of Search: 378/98.8, 378/98.7, 250/370.09, 250/370.11
• US Class Current: 378/98.8
• CPC Class Codes: G01T 1/2928 using solid state detectors
• CPC Class Codes: H04N 23/741 by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
• CPC Class Codes: H04N 5/32 Transforming X-rays cameras or camera modules for generating image signals from X-rays H04N23/30; circuitry of SSIS for transforming X-rays into image signals H04N25/30

Abstract

A method, processor and computed tomography (CT) machine for generating images utilizing high and low sensitivity data collected from a flat panel detector having an extended dynamic range. Hardware modifications for extending the dynamic range include grouping pixel rows and pixel columns into clusters of two. The sensitivity of the rows/columns is modified by positioning optical masks that have different transparencies for different rows/columns. Software modifications for extending the dynamic range include taking two correlated exposure scan measurements at each angle and combining the two data sets into one scan prior to image reconstruction. This method uses a spatially varying pixel exposure method where several adjacent pixels are clustered and each cluster has a different sensitivity. The signals of these clusters are combined to form one image effectively producing an increased dynamic range. The flat panel imager may be an a-Si:H based flat panel detector for use in X-ray imaging, including cone beam computer tomography (CBCT).

Claims

1. A method for generating an image using a flat panel x-ray detector, the detector including an array of detector pixels and a control line provided for each pixel row to activate each pixel in each respective row, the method comprising:

converting x-ray radiation into light detectable by the detector pixels;

obtaining high and low sensitivity data from the detector and extending the dynamic range of the detector using at least one technique from the group consisting of;

a predetermined triggering sequence in which predetermined integration times of adjacent pixels are different;

a plurality of optical masks having different transparencies for different rows/column of the array; and

a plurality of charge amplifiers having different amplifications for different columns of the array; and

using the obtained data to generate an image.

2. The method as claimed in claim 1 wherein the steps of obtaining and extending are performed using the plurality of optical masks, the optical masks being positioned between the detector pixels and a converter of the detector, the converter performing the step of converting x-ray radiation into light detectable by the detector pixels.

3. The method as claimed in claim 1 wherein the steps of obtaining and extending are performed using the predetermined triggering sequence, the triggering sequence controlling integration time of the pixels so that predetermined integration times of adjacent pixels in a column are different.

4. The method as claimed in claim 1 wherein the steps of obtaining and extending are performed using the plurality of charge amplifiers, the charge amplifiers controllably amplifying charges retrieved from the pixels so that amplification levels of adjacent pixels in a row are different.

5. The method as claimed in claim 1 wherein the step of obtaining is controlled from image to image based on attenuation properties of a scanned object.

6. The method as claimed in claim 1 wherein the image is generated using a reconstruction algorithm.

7. The method as claimed in claim 6 wherein the high and low sensitivity data are combined prior to using the reconstruction algorithm.

8. The method as claimed in claim 6 wherein the reconstruction algorithm uses the high and low sensitivity data.

9. A processor and a flat panel detector, the processor reconstructing an image using high and low sensitivity data collected from the flat panel detector, the detector including an array of detector pixels and a control line provided for each pixel row to activate each pixel in each respective row, the detector further including a converter, the processor programmed to:

obtain high and low sensitivity data from the detector and extend a dynamic range of the detector using at least one technique selected from the group of;

a predetermined triggering sequence in which predetermined integration times of adjacent pixels are different;

a plurality of optical masks between the detector pixels and the converter, the optical masks having different transparencies for different rows/columns of the array; and

a plurality of charge amplifiers having different amplifications for different columns of the array; and

generate an image using the obtained data.

10. The processor and flat panel detector as claimed in claim 9 wherein obtaining high and low sensitivity data from the detector is performed using the optical masks, and the converter converting radiation into light detectable by the detector pixels.

11. The processor and flat panel detector as claimed in claim 9 wherein obtaining high and low sensitivity data from the detector is performed using the predetermined triggering sequence and the triggering sequence controls integration time of the pixels so that integration times of adjacent pixels in a column are different by a predetermined amount.

12. The processor and flat panel detector as claimed in claim 9 wherein obtaining high and low sensitivity data from the detector is performed using the charge amplifiers and the charge amplifiers controllably amplify charges retrieved from the pixels so that amplification levels of adjacent pixels in a row are different.

13. The processor and flat panel detector as claimed in claim 9 wherein the processor is programmed with a reconstruction algorithm.

14. The processor and flat panel detector as claimed in claim 13 wherein the processor is programmed to combine the high and low sensitivity data prior to using the reconstruction algorithm.

15. The processor and flat panel detector as claimed in claim 13 wherein the reconstruction algorithm uses the high and low sensitivity data.

16. A computed tomography machine comprising:

a flat panel detector having a converter, the detector including an array of detector pixels and a control line provided for each pixel row to activate each pixel in each respective row; and

a processor for reconstructing an image using data collected from the detector, the processor programmed to;

obtain high and low sensitivity data from the detector and extend the dynamic range of the detector using at least one technique from the group consisting of;

a predetermined triggering sequence in which integration times of adjacent pairs of pixels differ by a predetermined amount, a plurality of optical masks having different transparencies for different rows/columns of the array and a plurality of charge amplifiers having different amplifications for different columns of the array; and

generate an image using the obtained data.

17. The machine as claimed in claim 16 wherein the processor is programmed to use the optical masks and the optical masks are positioned between the detector pixels and the converter, the converter converting radiation into light detectable by the detector pixels.

18. The machine as claimed in claim 16 wherein the processor is programmed to use the predetermined triggering sequence, the pixels including a plurality of first pixels and a plurality of second pixels each adjacent one of the plurality of first pixels, and the triggering sequence controls integration time of the pixels so that integration time of the plurality of first pixels in a column is different from the plurality of second pixels by a predetermined time.

19. The machine as claimed in claim 16 wherein the processor is programmed to use the charge amplifiers and the charge amplifiers controllably amplify charges retrieved from the pixels so that amplification levels of adjacent pixels in a row are different.

20. The machine as claimed in claim 16 wherein the processor is programmed with a reconstruction algorithm.

21. The machine as claimed in claim 20 wherein the processor is programmed to combine the high and low sensitivity data prior to using the reconstruction algorithm.

22. The machine as claimed in claim 20 wherein the reconstruction algorithm uses the high and low sensitivity data.

23. The machine as claimed in claim 16, wherein the detector discards data from pixels that saturate.

24. The machine as claimed in claim 16, further including an x-ray source generating x-ray radiation received by the detector.

25. An imaging machine comprising:

a radiation source;

a flat panel detector, the detector including an array of detector pixels and a control line provided for each pixel row to activate each pixel in each respective row, the detector further including a converter to convert radiation into light detectable by the detector pixels, the detector having a predetermined triggering sequence controlling integration time of the pixels so that integration times of adjacent pixels are different in a predetermined manner to obtain high and low sensitivity data from the adjacent pixels; and

a processor for reconstructing an image using the high and low sensitivity data from the detector to extend a dynamic range of the detector.

26. The machine as claimed in claim 25 wherein the processor generates the image using a reconstruction algorithm.

27. The machine as claimed in claim 26, wherein the high and low sensitivity data are combined prior to using the reconstruction algorithm.

28. The machine as claimed in claim 26, wherein the reconstruction algorithm determines whether at least one of the adjacent pixels is saturated.

29. An imaging machine comprising:

a radiation source;

a flat panel detector, the detector including an array of detector pixels and a control line provided for each pixel row to activate each pixel in each respective row, the detector further including a converter to convert radiation into light detectable by the detector pixels;

at least one optical mask between the detector pixels and the converter, the at least one optical mask having different transparencies for adjacent pixels of the array to obtain high and low sensitivity data from the adjacent pixels; and

a processor for reconstructing an image using the high and low sensitivity data from the detector to extend a dynamic range of the detector.

30. The machine as claimed in claim 29, wherein the processor uses the high and low sensitivity data in a reconstruction algorithm to generate the image at the extended dynamic range.

31. An imaging machine comprising:

a radiation source;

a flat panel detector, the detector including an array of detector pixels and a control line provided for each pixel row to activate each pixel in each respective row, the detector further including a converter to convert radiation into light detectable by the detector pixels;

a plurality of charge amplifiers having different amplifications for adjacent pixels to obtain high and low sensitivity data from the adjacent pixels; and

a processor for reconstructing an image using the high and low sensitivity data from the detector to extend a dynamic range of the detector.

32. The machine as claimed in claim 31, wherein the processor uses the high and low sensitivity data in a reconstruction algorithm to generate the image at the extended dynamic range.