Near-infrared optical imaging system for hemodynamic imaging, pulse monitoring, and mapping spatio-temporal features

• US 10,258,242 B2
• Filed: 01/06/2015
• Issued: 04/16/2019
• Est. Priority Date: 01/06/2014
• Status: Active Grant

• Current Assignee: The Florida International University Board of Trustees (State University System of Florida)
• Original Assignee: The Florida International University Board of Trustees (State University System of Florida)
• Inventors: Godavarty, Anuradha, Jung, Youngjin
• Primary Examiner(s): Winakur, Eric
• Assistant Examiner(s): Fardanesh, Marjan
• Application Number:
  US14/590,703
• Publication Number:
  US 20150190061A1
• Time in Patent Office: 1,561 Days
• Field of Search: None
• CPC Class Codes: A61B 2560/0431 Portable apparatus, e.g. comprising a handle or case
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/065 Determining position of the probe employing exclusively positioning means located on or in the probe, e.g. using position sensors arranged on the probe
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G01J 3/0264 Electrical interface; User interface
• CPC Class Codes: G01J 3/0272 Handheld
• CPC Class Codes: G01J 3/108 for measurement in the infrared range
• CPC Class Codes: G01J 3/2823 Imaging spectrometer
• CPC Class Codes: G01N 2021/3155 Measuring in two spectral ranges, e.g. UV and visible
• CPC Class Codes: G01N 2201/0221 Portable; cableless; compact; hand-held

Abstract

The present application describes techniques to image biological tissue to determine biological information of an imaged tissue sample such as changes in hemoglobin concentrations, blood flow rate (pulse), and/or spatio-temporal features. Embodiments include illuminating the tissue sample with light in the near-infrared (NIR) spectrum, which is minimally absorbed but scattered through the tissue sample. By detecting the NIR light that is attenuated through, transmitted through, and/or reflected off the tissue to be imaged, the resulting NIR intensity signals may be further analyzed to provide this data. Embodiments include using multiple NIR light sources having varying wavelengths to obtain changes in the oxy- and deoxy-hemoglobin concentrations of the imaged tissue region. The tissue sample may be imaged over a time period, and the NIR images may be viewed statically or in real time after post-processing analyses have been performed.

Claims

1. A system comprising:

a hand-held probe assembly comprising;

a probe body;

a detector assembly comprising a detector configured to capture an area of an image in the near-infrared spectrum; and

a source assembly comprising a near infrared light source movable relative to the detector and configured to obtain both reflectance and trans-illumination measurements depending upon the position of the near infrared light source relative to the detector; and

a control module configured to capture dynamic near-infrared signals at a plurality of wavelengths and to obtain real-time dynamic hemodynamic signals.

2. The system of claim 1, wherein the control module comprises one or more drivers for controlling the source assembly and one or more hardware or software modules for controlling the detector assembly.

3. The system of claim 1, further comprising a tracking module configured to track a tracking target disposed on the hand-held probe assembly, and wherein the control module comprises one or more hardware or software modules for receiving and processing data from the tracking module.

4. The system of claim 1, wherein the source assembly includes a plurality of infrared light sources at different wavelengths and wherein the control module is further configured to control the source assembly to multiplex the plurality of infrared light sources at a pre-determined frequency to create multiplexed source illumination that is synchronized with the detector.

5. The system of claim 3, wherein the control module is configured to communicate with the probe assembly to receive and process data from the tracking target to track the movement of the hand-held probe.

6. The system of claim 1, wherein the control module is configured to capture a plurality of images and to align the captured images.

7. The system of claim 1, wherein the control module is configured to receive data from the probe assembly to obtain the reflectance and trans-illumination imaging measurements.

8. The system of claim 1, wherein the source assembly comprises a 690 nm source and an 830 nm source.

9. The system of claim 1, wherein the source assembly comprises a first source having a wavelength between 670 nm and 710 nm, inclusive, and a second source having a wavelength between 810 nm and 850 nm, inclusive.

10. The system of claim 1, wherein the control module is configured to analyze the dynamic near-infrared signals to obtain a change in oxy-hemoglobin (HbO) concentration in an imaged tissue region, a change in deoxy-hemoglobin (HbR) concentration in the imaged tissue region, and a change in total hemoglobin (HbT) concentration in the imaged tissue region.

11. The system of claim 1, wherein the detector includes at least one of:

a CCD detector; and

a CMOS detector.

12. The system of claim 1, wherein the control module is configured to analyze frequency components to monitor a pulse at any point in an imaged surface.

13. The system of claim 1, wherein the control module is configured to provide histograms of intensity distributions and an equalizer.

14. The system of claim 1, wherein the control module is configured to provide real-time imaging as pictures, static images, or video of hemodynamic changes.

15. The system of claim 1, wherein the control module is configured to extract spatio-temporal features of the dynamic near-infrared signals or the real-time dynamic hemodynamic signals.

16. The system of claim 1, wherein the control module comprises a real-time monitoring subsystem.

17. The system of claim 1, wherein the control module comprises a subsystem configured to perform a region-of-interest based analysis in which a specific region of interest is examined to perform one or more of the following:

extraction of NIR intensity time series information from selected ROI positions;

calculation of changes in HbO, HbT, and/or HbR using NIR intensity time series information; and

/or

analysis of the dynamic near-infrared signals at the plurality of wavelengths to determine hemodynamic response.

18. The system of claim 1, wherein the control module comprises a subsystem operable to perform a map based analysis in which changes in HbO, changes in HbR, and/or changes in HbT are mapped on an NIR intensity background image to provide a hemodynamic response activity map.

19. The system of claim 1, wherein the control module is configured to perform masking to remove unwanted regions around a region of interest to increase image contrast.

20. A computer-implemented method, comprising:

capturing, via a detector assembly including a detector, an area of an image in the near-infrared spectrum;

obtaining, via a source assembly that includes a near infrared light source movable relative to the detector, both (i) reflectance, and (ii) trans-illumination measurements depending upon a position of the near infrared light source relative to the detector; and

capturing, via a control module, dynamic near-infrared signals at a plurality of wavelengths to obtain real-time dynamic hemodynamic signals.

21. The computer-implemented method of claim 20, further comprising:

controlling, via the control module, the source assembly and the detector assembly.

22. The computer-implemented method of claim 20, further comprising:

tracking, via a tracking module, a tracking target disposed on a hand-held probe assembly that includes the detector assembly and the source assembly, and

processing, via the control module, data received from the tracking module.

23. The computer-implemented method of claim 20, further comprising:

controlling, via the control module, the source assembly to multiplex a plurality of infrared light sources included as part of the source assembly at a pre-determined frequency to create multiplexed source illumination that is synchronized with the detector.

24. The computer-implemented method of claim 22, further comprising:

communicating, via the control module, with the probe assembly to receive and process data from the tracking target to track the movement of the hand-held probe.

25. The computer-implemented method of claim 20, further comprising:

capturing, via the control module, a plurality of images; and

aligning, via the control module, the captured images.

26. The computer-implemented method of claim 20, further comprising:

receiving, via the control module, data from the probe assembly to obtain one or more of the reflectance and trans-illumination imaging measurements.

27. The computer-implemented method of claim 20, wherein the act of obtaining the one or more of the reflectance and trans-illumination measurements includes obtaining the one or more of the reflectance and trans-illumination measurements via the source assembly that includes a 690 nm source and an 830 nm source.

28. The computer-implemented method of claim 20, wherein the act of obtaining the one or more of the reflectance and trans-illumination measurements includes obtaining the one or more of the reflectance and trans-illumination measurements via the source assembly that includes a first source having a wavelength between 670 nm and 710 nm, inclusive, and a second source having a wavelength between 810 nm and 850 nm, inclusive.

29. The computer-implemented method of claim 20, further comprising:

analyzing, via the control module, the dynamic near-infrared signals to obtain a change in oxy-hemoglobin (HbO) concentration in an imaged tissue region, a change in deoxy-hemoglobin (HbR) concentration in the imaged tissue region, and a change in total hemoglobin (HbT) concentration in the imaged tissue region.

30. The computer-implemented method of claim 20, wherein the act of capturing the area of the image in the near-infrared spectrum includes capturing the area of the image via a detector that includes least one of:

a CCD detector; and

a CMOS detector.

31. The computer-implemented method of claim 20, further comprising:

analyzing, via the control module, frequency components to monitor a pulse at any point in an imaged surface.

32. The computer-implemented method of claim 20, further comprising:

providing, via the control module, histograms of intensity distributions and an equalizer.

33. The computer-implemented method of claim 20, further comprising:

providing, via the control module, real-time imaging as pictures, static images, or video of hemodynamic changes.

34. The computer-implemented method of claim 20, further comprising:

extracting, via the control module, spatio-temporal features of the dynamic near-infrared signals or the real-time dynamic hemodynamic signals.

35. The computer-implemented method of claim 20, further comprising:

executing, via the control module, a region-of-interest based analysis in which a specific region of interest is examined to perform one or more of the following;

extraction of NIR intensity time series information from selected ROI positions;

calculation of changes in HbO, HbT, and/or HbR using NIR intensity time series information; and

/or

analysis of the dynamic near-infrared signals at the plurality of wavelengths to determine hemodynamic response.

36. The computer-implemented method of claim 20, further comprising:

performing, via the control module, a map-based analysis in which changes in HbO, changes in HbR, and/or changes in HbT are mapped on an NIR intensity background image to provide a hemodynamic response activity map.

37. The computer-implemented method of claim 20, further comprising:

performing, via the control module, masking to remove unwanted regions around a region of interest to increase image contrast.