Temporal oximeter

• US 9,579,052 B2
• Filed: 06/11/2010
• Issued: 02/28/2017
• Est. Priority Date: 06/12/2009
• Status: Active Grant

• Current Assignee: Oxymap Ehf
• Original Assignee: Oxymap Ehf
• Inventors: Halldorsson, Gisli Hreinn, Karlsson, Robert Arnar, Stefansson, Einar, Hardarson, Sveinn Hakon
• Primary Examiner(s): Thirugnanam, Gandhi
• Application Number:
  US13/377,749
• Publication Number:
  US 20120093389A1
• Time in Patent Office: 2,454 Days
• Field of Search: 382/134, 600/323, 600/340, 351/206
• US Class Current: 1/1
• CPC Class Codes: A61B 5/14535 for measuring haematocrit
• CPC Class Codes: A61B 5/14555 specially adapted for the eye fundus
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

A method and an apparatus for detecting change in retinal oxygen saturation over time are provided. The method includes the steps of capturing a first group of images of two or more wavelengths, calculating oxygen saturation of a vessel in the first group of images, storing the first group of images on a data storage device, capturing a second group of images of two or more wavelengths, calculating the oxygen saturation of a vessels in the second group of images, storing the second group of images on a data storage device, spatially registering the pair of the group of images, captured at different time and calculate the change in oxygen saturation. The method also includes means to validate whether an observed change in oxygen saturation is a real physiological change or artificial.

Claims

1. A method for detecting change in retinal oxygen saturation over time, said method comprising the steps of:

capturing a first group of retinal images of two or more narrow band wavelengths, wherein at least one of said narrow band wavelengths is at one or more isobestic wavelengths, by means of camera;

measuring optical density of one or more areas of interest in the first group of retinal images;

determining oxygen saturation in said first group of retinal images;

storing said first group of images on a data storage device;

capturing a second group of retinal images of two or more narrow band wavelengths, wherein at least one of said narrow band wavelengths is at one or more isobestic wavelengths, by means of camera;

measuring the optical density of one or more areas of interest in the second group of retinal images;

storing said second group of retinal images on a data storage device;

determining oxygen saturation in said second group of retinal images,

said first group and second group of retinal images, captured at different times, are spatially registered, by mapping features in the first group of images to the corresponding features of the second group of images; and

detecting a change in retinal oxygen saturation between said first group of retinal images and said second group of retinal images;

evaluating image comparability of said first and second groups of images captured at said one or more narrow band wavelengths, to determine if comparison between retinal oxygen saturation measurements at different point in time is valid, by comparing said optical density between said first and second groups of retinal images, wherein the step of evaluating image comparability comprises the steps of;

measuring the optical density of said first and second groups of retinal images at one or more isobestic wavelength;

scaling said optical density according to vessel width; and

measuring the difference of said scaled optical density between said first and second groups of retinal images by calculating the difference of said optical densities.

2. The method according to claim 1, wherein said quantized image comparability further comprises the steps of:

measuring relative change in hematocrit; and

scaling said optical density according to vessel width and relative change in hematocrit.

3. The method according to claim 1, wherein said isobestic wavelength is a narrow band wavelength centered around said isobestic wavelength.

4. The method according to claim 1, wherein said evaluating image comparability comprises the steps of:

measuring the background reflectance of said first and second groups of retinal images by filtering and averaging the background; and

measuring the changes of said background reflectance between said first and second groups of retinal images by calculating the ratio of said background reflection.

5. The method according to claim 4, wherein said changes in background reflectance comprises the step of:

measuring the background reflection on either side of said vessel calculating the ratio of said background reflection on either side of the vessel.

6. The method according to claim 4, wherein said changes in background reflectance comprises the step of:

measuring change in texture on either side of said vessel by calculating texture variability of the area on either side of said vessel.

7. The method according to claim 1, wherein said evaluating image comparability comprises the step of:

measuring the vessel shift distance between successive groups of images, by applying distance metric.

8. The method according to claim 1, wherein said evaluating image comparability comprises the step of:

using one or more image quality parameters to reject images.

9. The method according to claim 8, wherein said evaluating image quality parameter comprises the steps of:

measuring the information degradation of said images, by degrading each image with wavelet transformation function;

quantizing wavelets coefficients;

transforming the image back;

measuring the similarity between original and degraded image.

10. The method according to claim 8, wherein said evaluating image quality parameter comprises the step of:

measuring the focus of said images by applying contrast measurements.

11. The method according to claim 1, wherein said change in optical density is used to calculate change in parameters derived from the optical density.

12. The method according to claim 11, wherein said change in parameters derived from optical density is the difference between the parameters derived from the optical density level calculated from the said pair of groups of images captured at different time.

13. The method according to claim 11, wherein standard deviation of population similar to the one being measured is used to determine if the said change in the parameters derived from the optical density is statistically significant change.

14. The method according to claim 11, wherein said parameter is oxygen saturation.

15. A computer program or suite of computer programs embodied on a non-transitory computer readable medium, and so arranged such that when executed on a processor said program or suite of programs cause(s) said processor to perform a method comprising the steps of:

measuring optical density of one or more areas of interest in a first group of captured retinal images of two or more narrow band wavelengths, wherein at least one of said narrow band wavelengths is at one or more isobestic wavelengths;

determining oxygen saturation in said first group of retinal images;

storing said first group of retinal images on a data storage device;

measuring the optical density of one or more areas of interest in a second group of captured retinal images of two or more narrow band wavelengths, wherein said at least one of said narrow band wavelengths is at one or more isobestic wavelengths;

storing said second group of images on a data storage device;

determining oxygen saturation in said second group of retinal images;

spatially registering the said first and second group of retinal images, captured at different times, by mapping features in the first group of images to the corresponding features of the second group of images;

detecting the change in retinal oxygen saturation between said first group of retinal images and said second group of retinal images; and

evaluating image comparability of said first and second groups of images captured at said one or more narrow band wavelengths, to determine if comparison between retinal oxygen saturation measurements at different point in time is valid, by comparing said optical density between said first and second groups of retinal images, wherein the step of evaluating image comparability comprises the steps of;

measuring the optical density of said first and second groups of retinal images at one or more isobestic wavelength;

scaling said optical density according to vessel width; and

measuring the difference of said scaled optical density between said first and second groups of retinal images by calculating the difference of said optical densities.

16. A non-transitory computer readable data storage medium storing the computer program or at least one of the suites of computer programs of claim 15.

17. A computer program product according to claim 15, wherein a database resides on the same computer as said computing program product.

18. A computer program product according to claim 15, wherein a database, and said computing program product reside on different computers.

19. An apparatus for measuring change in retinal oxygen saturation over time, said apparatus comprising:

a camera, wherein said camera is adapted to capture a group of retinal images of two or more narrow band wavelengths, wherein at least one of said narrow band wavelengths is at one or more isobestic wavelengths;

a data storage device;

a computer, wherein said computer is adapted to receive said group of retinal images from said camera and stores said group of retinal images on said data storage device;

said computer is furthermore adapted to calculate the optical density and determine oxygen saturation in said group of retinal images;

said computer is adapted to spatially register a first group and a second group of retinal images captured at different time, by mapping features in the first group of images to the corresponding features in the second group of images,

wherein said computer is adapted to evaluate comparability of said first and second group of retinal images based on said optical density, and determine if comparison between oxygen saturation measurements at different point in time are valid, by comparing said optical density between the first and second groups of retinal images, at said one or more isobestic wavelength, and

wherein said computer is further adapted to;

measure the optical density of said first and second groups of retinal images at one or more isobestic wavelength;

scale said optical density according to vessel width; and

measure the difference of said scaled optical density between said first and second groups of retinal images by calculating the difference of said optical densities.