Interferometric speckle visibility spectroscopy
US-2020386535-A1 · Dec 10, 2020 · US
US12144587B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12144587-B2 |
| Application number | US-202418417405-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 19, 2024 |
| Priority date | Jan 19, 2023 |
| Publication date | Nov 19, 2024 |
| Grant date | Nov 19, 2024 |
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Systems and methods for imaging breath-hold (BH)-induced oxygenation changes in a patient are provided. A non-invasive, non-contact device can be used to image BH-induced oxygenation changes in one or more parts (e.g., foot) of a patient. The patient can hold his or her breath for a set amount of time while imaging is performed using the device, and the imaging can be performed before and/or after the time while the patient is holding his or her breath as well (e.g., during a recovery period). This enables tissue oxygenation based flow correlation independent of melanin concentration (e.g., skin color) of the patient and/or the curvature of the tissue (of the patient) being imaged.
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What is claimed is: 1. A method for performing non-invasive, non-contact imaging on a subject, the method comprising: providing a near-infrared (NIR) optical imager comprising a light unit providing light at a first NIR wavelength, a filter configured to optically filter ambient light and allow only NIR light to pass, and an NIR-sensitive image sensor configured to detect NIR signals reflected from tissue of the subject; utilizing the NIR optical imager to scan tissue of the subject in a non-invasive, non-contact manner while the subject is engaged in a breath hold (BH) phase of a BH paradigm, the BH paradigm comprising an initial rest phase, the BH phase, and a recovery phase; acquiring spatio-temporal diffuse reflected maps based on the reflected NIR signals detected by the NIR-sensitive image sensor; generating dynamic maps based on the spatio-temporal diffuse reflected maps; and displaying, via a graphical user interface (GUI) stored on a machine-readable medium in operable communication with the NIR optical imager, the dynamic maps, the filter being a long-pass filter or a band-pass filter, the NIR signals that the NIR-sensitive image sensor is configured to detect comprising signals at the first NIR wavelength, and the dynamic maps being independent of a color of skin of the subject, a tissue curvature of the tissue of the subject, or both. 2. The method according to claim 1 , the scanned tissue of the subject comprising a wound. 3. The method according to claim 2 , the wound being a diabetic foot ulcer (DFU). 4. The method according to claim 2 , further comprising: analyzing the dynamic maps; and determining a likelihood that the wound on the scanned tissue of the subject will heal based on a flow correlation value obtained from analyzing the dynamic maps, the flow correlation value being a tissue oxygenation-related correlation value or a diffuse reflectance-based correlation value, and the flow correlation value being independent of the color of skin of the subject, the tissue curvature of the tissue of the subject, or both. 5. The method according to claim 4 , the correlation value being an oxygenation flow index (OFI) of the tissue of the subject. 6. The method according to claim 1 , the light unit providing light at at least two different NIR wavelengths, the at least two different NIR wavelengths comprising the first NIR wavelength and a second NIR wavelength different from the first NIR wavelength, and the NIR signals that the NIR-sensitive image sensor is configured to detect further comprising signals at the second NIR wavelength. 7. The method according to claim 6 , each of the first wavelength and the second wavelength being in a range of from 650 nanometers (nm) to 950 nm. 8. The method according to claim 6 , the first wavelength being 682 nm, and the second wavelength being 826 nm. 9. The method according to claim 6 , the light unit of the NIR optical imager being a light-emitting diode (LED) light unit, the NIR optical imager further comprising an LED driver configured to multiplex light from the LED light unit, and the method further comprising multiplexing the first wavelength and the second wavelength at a first temporal frequency and a second temporal frequency, respectively. 10. The method according to claim 9 , the first temporal frequency being the same as the second temporal frequency, and the first temporal frequency being in a range of from 0.5 Hertz (Hz) to 100 Hz. 11. The method according to claim 1 , the spatio-temporal diffuse reflected maps being used to generate spatio-temporal tissue oxygenation maps. 12. The method according to claim 1 , the dynamic maps comprising at least one of: oxygenation flow correlation maps; and diffuse reflectance-based flow correlation maps. 13. The method according to claim 12 , the dynamic maps comprising the oxygenation flow correlation maps, and the method further comprising calculating an OFI of the tissue of the subject based on the oxygenation flow correlation maps. 14. The method according to claim 1 , the dynamic maps comprising at least one of an oxy-hemoglobin (HbO) map, a deoxy-hemoglobin (HbR) map, a total hemoglobin (HbT) map, and an oxygen saturation (StO 2 ) map for a region of interest (ROI) of the tissue of the subject. 15. The method according to claim 14 , further comprising extracting time-varying hemoglobin concentration profiles from the dynamic maps. 16. The method according to claim 1 , the acquiring of the spatio-temporal diffuse reflected maps comprising: coregistering the reflected NIR signals to minimize motion artifacts; and using modified Beer-Lambert's Law to generate the spatio-temporal diffuse reflected maps based on the coregistered reflected NIR signals. 17. The method according to claim 1 , the BH phase being an end-exhalation BH phase. 18. The method according to claim 1 , the BH phase being at least 10 seconds (s), the initial rest phase being at least 20 s, and the recovery phase being at least 20 s. 19. A method for performing non-invasive, non-contact imaging on a subject, the method comprising: providing a near-infrared (NIR) optical imager comprising a light unit providing light at at least two different NIR wavelengths, a filter configured to optically filter ambient light and allow only NIR light to pass, and an NIR-sensitive image sensor configured to detect NIR signals reflected from tissue of the subject; utilizing the NIR optical imager to scan tissue of the subject in a non-invasive, non-contact manner while the subject is engaged in a breath hold (BH) phase of a BH paradigm, the BH paradigm comprising an initial rest phase, the BH phase, and a recovery phase, and the scanned tissue of the subject comprising a wound; acquiring spatio-temporal diffuse reflected maps based on the reflected NIR signals detected by the NIR-sensitive image sensor; generating dynamic maps based on the spatio-temporal diffuse reflected maps; displaying, via a graphical user interface (GUI) stored on a machine-readable medium in operable communication with the NIR optical imager, the dynamic maps; analyzing the dynamic maps; and determining a likelihood that the wound on the scanned tissue of the subject will heal based on a flow correlation value obtained from analyzing the dynamic maps, the dynamic maps being independent of a color of skin of the subject, a tissue curvature of the subject, or both, the flow correlation value being a tissue oxygenation-related correlation value or a diffuse reflectance-based correlation value, the flow correlation value being independent of the color of skin of the subject, the tissue curvature of the tissue of the subject, or both, the filter being a long-pass filter or a band-pass filter, the at least two different NIR wavelengths comprising a first NIR wavelength and a second NIR wavelength different from the first NIR wavelength, the NIR signals that the NIR-sensitive image sensor is configured to detect comprising signals at the first NIR wavelength and the second NIR wavelength, the dynamic maps comprising at least one of: oxygenation flow correlation maps; and diffuse reflectance-based flow correlation maps, the acquiring of the spatio-temporal diffuse reflected maps comprising: coregistering the reflected NIR signals to minimize motion artifacts; and using modified Beer-Lambert's Law to generate the spatio-temporal diffuse reflected maps based on the coregistered reflected NIR signals, each of the first wavelength and the second wavelength being in a r
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