Systems and methods for correcting optical reflectance measurements

• US 7,616,303 B2
• Filed: 04/25/2006
• Issued: 11/10/2009
• Est. Priority Date: 04/25/2005
• Status: Active Grant

• Current Assignee: University Of Massachusetts
• Original Assignee: University Of Massachusetts
• Inventors: Soyemi, Olusola O., Soller, Babs R., Shear, Michael A., Yang, Ye
• Primary Examiner(s): Toatley, Jr.; Gregory J
• Assistant Examiner(s): Nur; Abdullahi
• Application Number:
  US11/411,538
• Publication Number:
  US 20070038041A1
• Time in Patent Office: 1,295 Days
• Field of Search: 356/326, 600/310, 600/300, 600/336, 600/322, 600/323, 600/473, 600/476, 600/306, 600/360, 606/9, 606/10, 606/11, 606/12
• US Class Current: 356/300
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• CPC Class Codes: A61B 5/14535 for measuring haematocrit
• CPC Class Codes: A61B 5/14539 for measuring pH
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: G01N 2021/3155 Measuring in two spectral ranges, e.g. UV and visible
• CPC Class Codes: G01N 21/25 Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
• CPC Class Codes: G01N 21/274 Calibration, base line adjustment, drift correction
• CPC Class Codes: G01N 21/359 using near infrared light
• CPC Class Codes: G01N 21/49 within a body or fluid
• CPC Class Codes: G01N 21/55 Specular reflectivity
• CPC Class Codes: G01N 21/59 Transmissivity G01N21/25 takes precedence

Abstract

We disclose measurement systems and methods for measuring analytes in target regions of samples that also include features overlying the target regions. The systems include: (a) a light source; (b) a detection system; (c) a set of at least first, second, and third light ports which transmit light from the light source to a sample and receive and direct light reflected from the sample to the detection system, generating a first set of data including information corresponding to both an internal target within the sample and features overlying the internal target, and a second set of data including information corresponding to features overlying the internal target; and (d) a processor configured to remove information characteristic of the overlying features from the first set of data using the first and second sets of data to produce corrected information representing the internal target.

Claims

1. A measurement system, comprising:

(a) a light source;

(b) a detection system;

(c) a set of at least first, second, and third light ports, which set transmits light from the light source to a sample and receives and directs light reflected from the sample to the detection system, wherein a distance between the first port and the third port comprises a first detection distance and a distance between the second port and the third port comprises a second detection distance, wherein the first detection distance is larger than the second detection distance; and

wherein either (i) the first and second ports are transmitting ports and the third port is a receiving port, or (ii) the first and second ports are receiving ports and the third port is a transmitting port; and

wherein the detection system generates a first set of data corresponding to the first detection distance and comprising information corresponding to both an internal target within the sample and features overlying the internal target, and a second set of data corresponding to the second detection distance and comprising information corresponding to features overlying the internal target; and

(d) a processor configured to remove information characteristic of the overlying features from the first set of data using the first and second sets of data to produce corrected information representing the internal target.

2. The system of claim 1, wherein the set of at least first, second, and third ports is situated on a single probe.

3. The system of claim 1, wherein the detection system is a spectral detection system, the first and second sets of data comprise first and second sets of spectra, and wherein the processor removes spectral information characteristic of the overlying features from the first set of spectra using the first and second sets of spectra to produce corrected spectral information representing the internal target.

4. The system of claim 1, wherein the second detection distance is between about 1 mm and about 5 mm.

5. The system of claim 1, wherein the second detection distance is between about 1.5 mm and about 3.5 mm.

6. The system of claim 1, wherein the first detection distance is greater than about 10 mm.

7. The system of claim 1, further comprising a shutter system for controlling whether light from the first or second transmitting port illuminates the sample.

8. The system of claim 3, wherein the spectral detection system comprises a spectrometer configured to receive light and to generate sets of spectra from the received light.

9. The system of claim 3, wherein the spectral detection system comprises a first spectrometer configured to receive light from the first receiving port and to generate the first set of spectra, and a second spectrometer configured to receive light from the second receiving port and to generate the second set of spectra.

10. The system of claim 2, wherein the probe head comprises a thermally conductive material to dissipate heat from the sample.

11. The system of claim 1, further comprising a thermally-conductive bridge between light transmitting ports and light receiving ports.

12. The system of claim 3, wherein the processor is further configured to remove spectral information from the first set of spectra that is characteristic of variations in optical scattering properties of the internal target that are unrelated to an analyte of interest therein.

13. The system of claim 3, wherein the processor is further configured to remove spectral information from the corrected spectral information representing the internal target that is characteristic of variations in optical scattering properties of the internal target that are unrelated to an analyte of interest therein.

14. The system of claim 1, wherein the light source provides light in the near-infrared region of the electromagnetic spectrum.

15. The system of claim 1, wherein the light source comprises at least one of an incandescent light source element, a light emitting diode, a laser diode, and a laser.

16. The system of claim 1, wherein the light source comprises an array of light emitting diodes.

17. The system of claim 3, wherein the processor is configured to remove spectral information characteristic of the overlying features from the first set of spectra using the first and second sets of spectra according to the equation

{circumflex over (R)}_ort=R_sfm−

{tilde over (R)}_sfw^T

where R_sfm is a spectrum from the first set of spectra, {tilde over (R)}_sf is a spectrum from the second set of spectra, w is a weight, “

T”

denotes a matrix transpose operation, and {circumflex over (R)}_ort comprises corrected spectral information representing the internal target.

18. The system of claim 3, wherein the processor is configured to normalize the first and second sets of spectra with respect to one another prior to producing the corrected spectral information.

19. The system of claim 12, wherein the processor is configured to remove spectral information that is characteristic of variations in optical scattering properties of the internal target from the first set of spectra by orthogonalizing the first set of spectra with respect to a set of loading vectors of principal components determined from a set of spectra from a plurality of samples.

20. The system of claim 19, wherein the plurality of samples have a property of the internal target within a selected range.

21. The system of claim 19, wherein the processor is configured to orthogonalize the first set of spectra by performing a set of steps that comprise:

performing a principal component analysis on a set of calibration spectra to determine a set of loading vectors corresponding to principal components of the calibration spectra;

determining one or more orthogonalization factors from the principal component analysis;

forming a loadings matrix having at least one dimension equal to the number of orthogonalization factors; and

orthogonalizing the first set of spectra with respect to the loadings matrix.

22. A method for correcting information corresponding to an internal target within a sample measured by a system having a light source, a detection system, and a set of at least first, second, and third light ports, which set transmits light from the light source to the sample and receives and directs light reflected from the sample to the detection system, wherein a distance between the first port and the third port comprises a first detection distance and a distance between the second port and the third port comprises a second detection distance, wherein the first detection distance is larger than the second detection distance;

and wherein either (i) the first and second ports are transmitting ports and the third port is a receiving port, or (ii) the first and second ports are receiving ports and the third port is a transmitting port, the method comprising;

illuminating the sample with one or more light ports of the set;

detecting the reflected light with the detection system;

generating a first set of data corresponding to the first detection distance and comprising information corresponding to both an internal target within the sample and features overlying the internal target, and a second set of data corresponding to the second detection distance and comprising information corresponding to features overlying the internal target; and

removing information characteristic of the overlying features from the first set of data using the first and second sets of data to produce corrected information representing the internal target.

23. The method of claim 22, wherein the detection system is a spectral detection system, the first and second sets of data comprise first and second sets of spectra, and wherein removing information characteristic of the overlying features from the first set of data comprises removing spectral information characteristic of the overlying features from the first set of spectra using the first and second sets of spectra to produce corrected spectral information representing the internal target.

24. The method of claim 23, wherein removing spectral information characteristic of overlying features of the sample from the first set of spectra comprises combining the first and second sets of spectra according to the equation

{circumflex over (R)}_ort=R_sfm−

{tilde over (R)}_sfw^T

where R_sfm is a spectrum from the first set of spectra, {tilde over (R)}_sf is a spectrum from the second set of spectra, w is a weight, “

T”

denotes a matrix transpose operation, and {circumflex over (R)}_ort comprises corrected spectral information representing the internal target.

25. The method of claim 23, further comprising normalizing the first and second sets of spectra relative to one another prior to producing the corrected spectral information.

26. The method of claim 25, wherein normalizing comprises applying a polynomial fit between the first and second sets of spectra.

27. The method of claim 26, wherein coefficients used in the polynomial fit are derived from first and second sets of spectra recorded from one or more reflectance standards.

28. The method of claim 23, further comprising processing the first set of spectra to remove spectral information characteristic of variations in optical properties of the internal target that are unrelated to an analyte of interest therein.

29. The method of claim 23, further comprising processing the corrected spectral information representing the internal target to remove spectral information that is characteristic of variations in optical scattering properties of the internal target that are unrelated to an analyte of interest therein.

30. The method of claim 28, wherein removing spectral information characteristic of variations in optical properties of the internal target that are unrelated to an analyte of interest therein comprises orthogonalizing the first set of spectra with respect to a set of loading vectors of principal components determined from a set of calibration spectra.

31. The method of claim 30, wherein orthogonalizing the first set of spectra with respect to a set of loading vectors comprises:

performing a principal component analysis on a set of calibration spectra to determine a set of loading vectors corresponding to principal components of the set of calibration spectra;

determining one or more orthogonalization factors from the principal component analysis;

forming a loadings matrix having at least one dimension equal to the number of orthogonalization factors; and

orthogonalizing the first set of spectra with respect to the loadings matrix.

32. A method of measuring an analyte in a subject, the method comprising:

generating a set of corrected spectra based on reflectance measurements from an animal according to the method of claim 22;

developing one or more calibration equations based on a relationship between a measurement of the analyte in the animal and the set of corrected spectra from the animal;

generating a set of corrected spectra based on reflectance measurements from the subject according to the method of claim 22; and

determining a value of the analyte in the subject based on the one or more calibration equations and the set of corrected spectra from the subject.

33. The method of claim 32, wherein the subject is a human.

34. The method of claim 32, wherein the sets of corrected spectra generated based on reflectance measurements from the animal and the subject are further processed to remove spectral information characteristic of variations in optical properties of internal targets is comprising the analyte.

35. A method of measuring an analyte in a subject, the method comprising:

generating a set of corrected spectra based on reflectance measurements from a first body site of the subject according to the method of claim 22;

developing one or more calibration equations based on a relationship between a measurement of the analyte at the first body site and the set of corrected spectra from the first body site;

generating a set of corrected spectra based on reflectance measurements from a second body site of the subject according to the method of claim 22; and

determining a value of the analyte at the second body site based on the one or more calibration equations and the set of corrected spectra from the second body site.

36. The method of claim 35, wherein the subject is a human, the first body site is an arm, and the second body site is a leg.

37. The method of claim 35, wherein the sets of corrected spectra generated based on reflectance measurements from the first and second body sites are further processed to remove spectral information characteristic of variations in optical properties of internal targets comprising the analyte.