Systems for Processing Images Generated Using Fourier Domain Optical Coherence Tomography (FDOCT)

• US 20130202176A1
• Filed: 02/28/2013
• Published: 08/08/2013
• Est. Priority Date: 01/19/2007
• Status: Active Grant

• Current Assignee: Bioptigen, Inc. (Danaher Corporation)
• Original Assignee: Bioptigen, Inc. (Danaher Corporation)
• Inventors: Izatt, Joseph A., Buckland, Eric L., Groshong, Bennett R., Bower, Bradley A.
• Granted Patent: US 8,644,572 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: A61B 3/117 for examining the anterior chamber or the anterior chamber angle, e.g. gonioscopes
• CPC Class Codes: A61B 5/0066 Optical coherence imaging
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• 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
• CPC Class Codes: G01P 3/36 Devices characterised by the use of optical means, e.g. using infrared, visible, or ultraviolet light G01P3/68 takes precedence; gyrometers using the Sagnac effect, i.e. rotation-induced shifts between counter-rotating electromagnetic beams G01C19/64
• CPC Class Codes: G06T 11/003 Reconstruction from projections, e.g. tomography

Abstract

Methods, systems and computer program products for managing frequency domain optical coherence tomography (FDOCT) image resolution. A spectrum used to acquire an image of a subject is calibrated and default dispersion correction parameters are set. Default dispersion management parameters associated with a region of the image of the subject are also set. The image of the subject is acquires after setting the default dispersion correction parameters and the default dispersion management parameters. A quality of the acquired image is compared to a quality metric for the acquired image. The dispersion correction parameters are adjusted if the quality of the acquired image does not meet or exceed the quality metric for the acquired image. The acquired image is reprocesses based on the adjusted dispersion correction parameters. The steps of comparing, adjusting and reprocessing are repeated until the acquired image meets or exceeds the quality metric for the acquired image.

Claims

1. A Fourier Domain Optical Coherence Tomography (FDOCT) image processing system, the system comprising:

a display; and

a processor configured to transform a frequency domain spectral interferogram into a spatial domain image using both subject-specific metadata and hardware-specific metadata;

wherein the subject-specific metadata contains information associated with one of a subject and a class of subjects;

wherein the hardware-specific metadata contains information associated with one of a hardware configuration or class of hardware configurations; and

wherein the display is configured to display spatial domain image data.

2. The system of claim 1, wherein the subject-specific metadata includes dispersion correction parameters.

3. The system of claim 1, wherein the hardware-specific metadata includes spectral calibration data for correlating frequency domain data elements to corresponding optical frequencies.

4. The system of claim 3, wherein the hardware-specific metadata includes spectral phase calibration data for correlating the phase of frequency domain data elements to corresponding optical frequencies.

5. The system of claim 2, wherein the processor is further configured to apply the dispersion correction parameters in the transformation of the frequency domain spectral interferogram to the spatial domain image.

6. The system of claim 5, wherein the processor is further configured to:

optimize dispersion correction parameters; and

reprocess the frequency domain spectral interferogram using the improved optimized dispersion correction parameters to provide an optimized spatial domain image.

7. The system of claim 1, wherein the processor is further configured to acquire a plurality of B-scans consisting of a plurality of A-scans, to process the plurality of B-scans into a plurality of spatial domain images, and to average at least a subset of the plurality of spatial domain images to obtain an image with reduced speckle.

8. The system of claim 1, wherein the processor is further configured to acquire a plurality of frequency domain B-scans consisting of a plurality of frequency domain A-scans, and to average at least a subset of the plurality of B-scans of frequency domain A-scans prior to transforming to spatial domain images to obtain an image with reduced speckle.

9. The system of claim 1, wherein the processor is further configured to apply a spectral filter to the frequency domain spectral interferogram prior to transforming the frequency domain data to the spatial domain image.

10. The system of claim 9, wherein the processor is further configured to compare the spatial domain image derived from the application of a first spectral filter to the spatial domain image derived from the application of a second spectral filter.

13. The method of claim 1, wherein the hardware-specific metadata includes spectral calibration data for correlating frequency domain data elements to corresponding optical frequencies.

14. The method of claim 13, wherein the hardware-specific metadata includes spectral phase calibration data for correlating the phase of frequency domain data elements to corresponding optical frequencies.

11. A method of imaging in a Fourier Domain Optical Coherence Tomography (FDOCT) system, the method comprising:

acquiring frequency domain data;

transforming a frequency domain spectral interferogram into a spatial domain image using both subject-specific metadata and hardware-specific metadata,

wherein the subject-specific metadata contains information associated with one of a subject and a class of subjects and wherein the hardware-specific metadata contains information associated with one of a hardware configuration and a class of hardware configurations; and

displaying spatial domain image data.

12. The method of claim 11, wherein the subject-specific metadata includes dispersion correction parameters.

15. The method of claim 12, wherein the transforming includes applying the dispersion correction parameters to the frequency domain spectral interferogram prior to deriving the spatial domain image.

16. The method of claim 15, wherein dispersion correction parameters are derived during an image optimization procedure.

17. The method of claim 11, further comprising:

acquiring plurality of frequency domain B-scans consisting of a plurality of A-scans;

transforming the acquired plurality of frequency domain B-scans into spatial domain images; and

averaging at least a subset of the plurality of spatial domain B-scans to obtain an image with reduced speckle.

18. The method of claim 11, further comprising:

acquiring a plurality of frequency domain B-scans consisting of a plurality of frequency domain A-scans; and

averaging at least a subset of the plurality of B-scans of frequency domain data prior to transforming to spatial domain images to obtain an image with reduced speckle.

19. The method of claim 11, further comprising:

applying a spectral filter to the frequency domain spectral interferogram prior to transforming the frequency domain data to the spatial domain image.

20. The method of claim 19, further comprising comparing the spatial domain image derived from the application of a first spectral filter to the spatial domain image derived from the application of a second spectral filter.

21. The method of claim 11, wherein a region to be imaged is selected dynamically, the method further comprising:

applying a first set of scan parameters to acquire frequency domain data over a first region of interest;

displaying a graphical element on a display, wherein the graphical element is calibrated to the first set of scan parameters;

acquiring the frequency domain data over the first region of interest;

transforming at least a portion of the frequency domain data to spatial domain data;

displaying at least a portion of spatial domain data;

modifying the region of interest by controlling the graphical element on the display, wherein controlling includes changing one of a location, a shape and a dimension of the graphical element;

deriving a second set of scan parameters defining a second region of interest based on the modified graphical element;

acquiring frequency domain data over the second region of interest;

transforming at least a portion of the frequency domain data to spatial domain data; and

displaying at least a portion of the spatial domain data.