Process, System And Software Arrangement For A Chromatic Dispersion Compensation Using Reflective Layers In Optical Coherence Tomography (OCT) Imaging

• US 20090196477A1
• Filed: 07/23/2004
• Published: 08/06/2009
• Est. Priority Date: 05/29/2004
• Status: Active Grant

• Current Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Original Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Inventors: Yun, Seok-Hyun, de Boer, Johannes F., Cense, Abraham J.
• Granted Patent: US 8,018,598 B2
• Time in Patent Office: Days
• US Class Current: 382/131
• CPC Class Codes: A61B 3/102 for optical coherence tomography [OCT]
• CPC Class Codes: G01B 9/02004 using frequency scans
• CPC Class Codes: G01B 9/02044 Imaging in the frequency domain, e.g. by using a spectrometer
• CPC Class Codes: G01B 9/02069 Synchronization of light source or manipulator and detector
• CPC Class Codes: G01B 9/02083 characterised by particular signal processing and presentation
• CPC Class Codes: G01B 9/02091 Tomographic interferometers, e.g. based on optical coherence
• CPC Class Codes: G01N 21/4795 spatially resolved investigating of object in scattering medium in vivo A61B

Abstract

A system, process and software arrangement are provided to compensate for a dispersion in at least one portion of an image. In particular, information associated with the portion of the image is obtained. The portion of the image can be associated with an interference signal that includes a first electromagnetic radiation received from a sample and a second electromagnetic radiation received from a reference. The dispersion in the at least one portion of the image can be compensated by controlling a phase of at least one spectral component of the interference signal.

Claims

1. A system to compensate for a dispersion in at least one portion of an image, comprising:

a processing arrangement configured to obtain information associated with the at least one portion of the image, the at least one portion of the image being associated with an interference signal that includes a first electromagnetic radiation received from a sample and a second electromagnetic radiation received from a reference, wherein the processing arrangement is further capable of compensating for the dispersion in the at least one portion of the image by controlling a phase of at least one spectral component of the interference signal.

2. The system according to claim 1, wherein the dispersion is an indication of a difference between the first and second electromagnetic radiations.

3. The system according to claim 1, wherein the processing arrangement is capable of controlling the dispersion by at least one of reducing and removing the dispersion in the at least one portion of the image.

4. The system according to claim 1, wherein the processing arrangement is further configured to determine data associated with reflective layers in a tissue of the sample from the interference signal, and determining information associated with the dispersion that is provided in the data.

5. The system according to claim 4, wherein the processing arrangement is further configured to utilize the information to at least one of reduce and remove the dispersion from the data.

6. The system according to claim 1, wherein, when the processing arrangement executes software instructions, the processing arrangement is configured to control the phase of the at least one spectral component of the interference signal.

7. The system according to claim 1, wherein, prior to controlling the phase of the at least one spectral component of the interference signal, the processing arrangement is configured to quantify the dispersion, and correct for the dispersion in the image based on the quantification.

8. The system according to claim 1, wherein the dispersion is a chromatic dispersion.

9. The system according to claim 1, wherein the processing arrangement is further configured to determine data associated with the dispersion of the image, quantify the dispersion using the data, and correct for the dispersion in the image based on the quantification.

10. The system according to claim 9, wherein the sample is a retina of an eye.

11. The system according to claim 10, wherein the information includes data associated with spectral reflections obtained from the retina.

12. The system according to claim 11, wherein the processing arrangement is configured to enable an operator to select at least one dispersed spectral reflection of the spectral reflections.

13. The system according to claim 12, wherein the at least one dispersed spectral reflection is selected using a graphical user interface.

14. The system according to claim 12, wherein the at least one dispersed spectral reflection is selected at least one of during an acquisition of the image and after the acquisition of the image.

15. The system according to claim 12, wherein the processing arrangement is further configured to quantify the dispersion using the at least one dispersed spectral reflection, and correct for the dispersion in the image based on the quantification.

16. The system according to claim 12, wherein the processing arrangement is further configured to interactively search for a brightest one of the spectral reflections, quantify the dispersion using the brightest one of the spectral reflections, and correct for the dispersion in the image based on the quantification.

17. The system according to claim 1, wherein the dispersion is a depth dependent chromatic dispersion.

18. The system according to claim 17, wherein the information includes dispersed image data, and wherein the processing arrangement is further configured to quantify the dispersion using the dispersed image data, and correct for the dispersion in the image based on the quantification.

19. The system according to claim 18, wherein the sample is a retina of an eye.

20. The system according to claim 17, wherein the dispersed image data includes spectral reflections, and wherein the processing arrangement is configured to quantify the dispersion using the spectral reflections.

21. The system according to claim 1, wherein the processing arrangement is configured to control the dispersion by correcting the dispersion in the image using predetermined constant chromatic dispersion parameters.

22. The system according to claim 21, wherein the dispersion is compensated based on an estimate of an axial eye length.

23. The system according to claim 21, wherein the dispersion is compensated based on an estimate of an axial eye length.

24. A method to compensate for a dispersion in at least one portion of an image, comprising the steps of:

obtaining information associated with the at least one portion of the image, the at least one portion of the image being associated with an interference signal that includes a first electromagnetic radiation received from a sample and a second electromagnetic radiation received from a reference; and

compensating for the dispersion in the at least one portion of the image by controlling a phase of at least one spectral component of the interference signal.

25. The method according to claim 24, wherein the dispersion is an indication of a difference between the first and second electromagnetic radiations.

26. The method according to claim 24, wherein the controlling step includes the substep of at least one of reducing and removing the dispersion in the at least one portion of the image.

27. The method according to claim 24, further comprising the steps of:

determining data associated with reflective layers in a tissue of the sample from the interference signal; and

determining information associated with the dispersion that is provided in the data.

28. The method according to claim 27, further comprising the step of utilizing the information to at least one of reduce and remove the dispersion from the data.

29. The method according to claim 24, wherein the controlling step is performed using software instructions.

30. The method according to claim 24, further comprising the steps of, prior to the controlling step,

quantifying the dispersion;

and

correcting for the dispersion in the image based on the quantification.

31. The method according to claim 24, wherein the dispersion is a chromatic dispersion.

32. The method according to claim 24, further comprising the steps of:

determining data associated with the dispersion of the image;

quantifying the dispersion using the data; and

correcting for the dispersion in the image based on the quantification.

33. The method according to claim 32, wherein the sample is a retina of an eye.

34. The method according to claim 33, wherein the information includes data associated with spectral reflections obtained from the retina.

35. The method according to claim 33, further comprising the step of enabling an operator to select at least one dispersed spectral reflection of the spectral reflections.

36. The method according to claim 35, wherein the at least one dispersed spectral reflection is selected using a graphical user interface.

37. The method according to claim 35, wherein the at least one dispersed spectral reflection is selected at least one of during an acquisition of the image and after the acquisition of the image.

38. The method according to claim 35, further comprising the steps of:

quantifying the dispersion using the at least one dispersed spectral reflection; and

correcting for the dispersion in the image based on the quantification.

39. The method according to claim 35, further comprising the steps of:

interactively searching for a brightest one of the spectral reflections;

quantifying the dispersion using the brightest one of the spectral reflections; and

correcting for the dispersion in the image based on the quantification.

40. The method according to claim 24, wherein the dispersion is a depth dependent chromatic dispersion.

41. The method according to claim 40, wherein the information includes dispersed image data, and further comprising the steps of:

quantifying the dispersion using the dispersed image data; and

correcting for the dispersion in the image based on the quantification.

42. The method according to claim 41, wherein the sample is a retina of an eye.

43. The method according to claim 40, wherein the dispersed image data includes spectral reflections, and wherein the processing arrangement is adapted to quantify the dispersion using the spectral reflections.

44. The method according to claim 43, further comprising the step of controlling the dispersion by correcting the dispersion in the image using predetermined constant chromatic dispersion parameters.

45. The method according to claim 44, wherein the dispersion is corrected based on an estimate of an axial eye length.

46. The method according to claim 44, wherein the dispersion is compensated based on an estimate of an axial eye length.

47. A software arrangement adapted to compensate for a dispersion in at least one portion of an image, comprising:

a first set of instructions which, when executed by a processing arrangement, obtain information associated with the at least one portion of the image, the at least one portion of the image being associated with an interference signal that includes a first electromagnetic radiation received from a sample and a second electromagnetic radiation received from a reference; and

a second set of instructions which, when executed by the processing arrangement, compensate for the dispersion in the at least one portion of the image by controlling a phase of at least one spectral component of the interference signal.

48-69. -69. (canceled)