Pupilometer with pupil irregularity detection capability

• US 6,260,968 B1
• Filed: 03/13/2000
• Issued: 07/17/2001
• Est. Priority Date: 04/23/1999
• Status: Expired due to Term

• Current Assignee: Neuroptics Incorporated
• Original Assignee: Neuroptics Incorporated
• Inventors: Oliver, Jeffrey, Siminou, Kamran, Stark, Lawrence W., Privitera, Claudio M.
• Primary Examiner(s): MANUEL, GEORGE C
• Application Number:
  US09/523,778
• Time in Patent Office: 491 Days
• Field of Search: 351/205, 351/204, 351/209, 351/211, 351/212, 351/221, 351/246, 351/206, 356/4.01, 356/4.04, 356/4.05
• US Class Current: 351/205
• CPC Class Codes: A61B 3/112 for measuring diameter of pupils

Abstract

A pupilometer having a pupil irregularity or non-uniformity detection capability. The pupilometer may comprise an imaging sensor for generating signals representative of a pupil of an eye, a data processor; and a program executable by the data processor for enabling the data processor to process signals received from the imaging sensor and to thereby identify one or more regions of non-uniformity within an image of a perimeter of the pupil. The pupilometer may incorporate several innovative calibration and thresholding routines and may provide the basis for an innovative medical diagnostics system, when coupled to a network containing a suitable medical database and data processing hardware.

Claims

1. A pupilometer comprising:

an imaging sensor for generating signals representative of a pupil of an eye;

a data processor; and

a program executable by said data processor for enabling said data processor to process signals received from said imaging sensor and to thereby identify one or more regions of pupilary asymmetry within an image of a perimeter of said pupil.

5. The pupilometer of claim 1, further comprising:

an illumination system comprising an IR light source; and

a stimulus system comprising a visible light source.

6. The pupilometer of claim 5, wherein the stimulus system further comprises a first beam splitter, and wherein the first beam splitter is positioned to direct visible light generated by the visible light source toward the pupil of the eye.

7. The pupilometer of claim 6, wherein the illumination system further comprises a second beam splitter, and wherein the second beam splitter is positioned to direct IR light generated by the IR light source toward the pupil and to provide a return path to the imaging sensor for the IR light and the visible light reflected by the pupil.

8. The pupilometer of claim 5, further comprising a display in electrical communication with the data processor.

9. The pupilometer of claim 5, wherein the program further enables said data processor to cause a plurality of visible light stimulus pulses to be generated by said visible light source, and to cause said IR light source to generate IR light for illuminating said pupil.

2. A pupilometer comprising:

imaging means for generating image data representative of a pupil of a patient; and

deformation detection means coupled to said imaging means for identifying one or more selected regions within an image of a perimeter of said pupil that exhibit a predetermined amount of regional distortion.

3. The pupilometer of claim 2, wherein said imaging means comprises a CCD camera.

4. The pupilometer of claim 2, wherein said deformation detection means comprises a microprocessor and image data analysis software for identifying one or more selected regions within said image of said perimeter of said pupil that exhibit said predetermined amount of regional distortion.

10. A pupilometer comprising:

an imaging apparatus for obtaining image data representative of a pupil of a patient;

a microprocessor coupled to said imaging apparatus; and

a memory coupled to said microprocessor, said memory having stored therein a program for enabling said microprocessor to process image data generated by said imaging apparatus, and for enabling said microprocessor to identify one or more regions of pupilary asymmetry within an image of a perimeter of said pupil.

11. The pupilometer of claim 10 further comprising a display coupled to said microprocessor, said display being capable of displaying an image of said pupil of said patient and being capable of displaying information descriptive of said local non-uniformities in the event that such local non-uniformities are located within an image of said pupil of said patient.

12. The pupilometer of claim 10, further comprising:

an illumination system comprising an IR light source, said IR light source being coupled to the microprocessor; and

a stimulus system comprising a visible light source, said visible light source being coupled to the microprocessor.

13. The pupilometer of claim 12, wherein the illumination system further comprises a first beam splitter, and wherein the first beam splitter is positioned to direct visible light generated by the visible light source toward the pupil of the eye.

14. The pupilometer of claim 13, wherein the illumination system further comprises a second beam splitter, and wherein the second beam splitter is positioned to direct IR light generated by the IR light source toward the pupil and to provide a return path to the imaging sensor for the IR light and the visible light reflected by the pupil.

15. The pupilometer of claim 12, further comprising a display in electrical communication with the microprocessor.

16. The pupilometer of claim 12, wherein the program further enables said microprocessor to cause a plurality of visible light stimulus pulses to be generated by said visible light source, and to cause said IR light source to generate IR light for illuminating said pupil.

17. A pupilometer comprising:

means for aquiring image data representative of ocular tissue, means for processing said image data, and means for displaying information derived from said image data,

said means for processing said image data comprising a microprocessor and programming for determining a pixel brightness threshold value, for locating a pupil within a plurality of image data sets using said pixel brightness threshold value, and for identifying perimeter regions of said pupil which exhibit a predetermined degree of pupilary asymmetry when said pupil is exposed to at least one visible light stimulus pulse.

18. A method of processing data representative of an image of ocular tissue, said method comprising the steps of:

using an imaging sensor, generating digital image data representative of said image of said ocular tissue; and

using a microprocessor, processing said digital image data representative of said image of said ocular tissue to locate one or more landmarks within said image of said ocular tissue, locating a pupil within said image of said ocular tissue using said one or more landmarks, and identifying perimeter regions of said pupil which exhibit a predetermined degree of pupilary asymmetry when said pupil is exposed to at least one visible light stimulus pulse.

19. The method of claim 18, wherein said landmarks correspond to eyelash images located within said image of ocular tissue.

20. The method of claim 18, wherein said landmarks correspond to eyelid images located within said image of ocular tissue.

21. The method of claim 18, wherein said landmarks correspond to eyebrow images located within said image of ocular tissue.

22. The method of claim 18, wherein said landmarks correspond to one of a lachrymal punctum, a lachrymal caruncula, a lateral papebral commisure or a medial papebral commisure of a patient'"'"'s eye.

23. A method of calibrating a pupilometer comprising the steps of:

acquiring at least one data set representative of an image of an eye including a pupil and an iris,

deriving from said data set information descriptive of a degree of ellipticity of an outer perimeter region of said iris, and

using said information descriptive of said degree of ellipticity of said outer perimeter region of said iris to derive calibration information descriptive of an orientation of said eye.

24. The method of claim 23, wherein the pupilometer is handheld.

25. The method of claim 23, wherein the at least one data set representative of an image of an eye is acquired by illuminating the iris of the eye with blue light and obtaining an image of a sclera/iris border.

26. The method of claim 25, further comprising the steps of:

identifying an elliptical circumference for the sclera/iris border of the eye;

comparing said elliptical circumference with a known sclera/iris border radius or diameter; and

deriving a pixel measurement to real world correlation factor based upon the comparison.