Biological tissue analysis by inverse spectroscopic optical coherence tomography

US10241041B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10241041-B2
Application numberUS-201715590745-A
CountryUS
Kind codeB2
Filing dateMay 9, 2017
Priority dateOct 14, 2011
Publication dateMar 26, 2019
Grant dateMar 26, 2019

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Abstract

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A method and system to measure and image the full optical scattering properties by inverse spectroscopic optical coherence tomography (ISOCT) is disclosed. Tissue is modeled as a medium with continuous refractive index (RI) fluctuation and such a fluctuation is described by the RI correlation functions. By measuring optical quantities of tissue (including the scattering power of the OCT spectrum, the reflection albedo α defined as the ratio or scattering coefficient μ s , and the back-scattering coefficient μ b ), the RI correlation function can be inversely deduced and the full set of optical scattering properties can be obtained.

First claim

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What is claimed is: 1. A method comprising: generating, using an inverse spectroscopic optical coherence tomography (ISOCT) apparatus, three-dimensional (3D) data using an inverse Fourier transform of interferometric data related to a tissue sample; generating, using the ISOCT apparatus, four-dimensional (4D) data using a short frequency Fourier transform of the interferometric data; calculating, using an ISOCT apparatus, a mass fractal dimension value of the tissue sample based on the 4D data; calculating, using an ISOCT apparatus, a backscattering coefficient of the tissue sample based on the 3D data; calculating, using an ISOCT apparatus, a scattering coefficient of the tissue sample based on the 3D data and 4D data; and determining, using an ISOCT apparatus, a type of tissue based on at least one of the mass fractal dimension value, the backscattering coefficient, and the scattering coefficient of the tissue sample. 2. The method as defined in claim 1 , further including correcting at least one of the mass fractal dimension value, the backscattering coefficient, and the scattering coefficient based on a wavelength attenuation. 3. The method as defined in claim 1 , further including reducing at least one of the mass fractal dimension value, the backscattering coefficient, and the scattering coefficient based on an upper length scale of a correlation function. 4. The method as defined in claim 1 , further including filtering the interferometric data using a Gaussian spectral wavelet window. 5. The method as defined in claim 1 , further including averaging the 3D data and the 4D data at both the lateral plane and axial extents to yield robust results. 6. The method as defined in claim 1 , wherein the mass fractal dimension value is calculated based for each voxel. 7. The method as defined in claim 1 , further including normalizing the 3D data and the 4D data using a reflectance spectrum from a reference arm. 8. The method as defined in claim 1 , wherein the backscattering coefficient is calculated based on an absolute minimum intensity value. 9. The method as defined in claim 1 , further including selecting a region of interest for which to calculate the mass fractal dimension value of the tissue sample. 10. An apparatus comprising: a computer connected to a laser source, an interferometer, and a charge coupled device camera, the computer to control the interferometer and the camera to form an inverse spectroscopic optical coherence tomography (ISOCT) system, the computer having a processor to: generate three-dimensional (3D) data using an inverse Fourier transform of interferometric data created by the interferometer and collected by the charge coupled device camera related to a tissue sample; generate four-dimensional (4D) data using a short frequency Fourier transform of the interferometric created by the interferometer and collected by the charge coupled device camera data; calculate a mass fractal dimension value of the tissue sample based on the 4D data; calculate a backscattering coefficient of the tissue sample based on the 3D data; calculate a scattering coefficient of the tissue sample based on the 3D data and 4D data; and determine a type of tissue based on at least one of the mass fractal dimension value, the backscattering coefficient, and the scattering coefficient of the tissue sample. 11. The apparatus as defined in claim 10 , further including a sample stage on which a specimen is placed. 12. The apparatus as defined in claim 10 , further including a fiber optic based probe to analyze internal biological tissues in vivo. 13. The apparatus as defined in claim 10 , further including a scanning mechanism on a piezoelectric plate to keep a size of a probe less than 1 nanometer. 14. The apparatus as defined in claim 10 , further including a gradient-index lens to focus light from the fiber and collect backscattered light. 15. A non-transitory computer readable storage medium including instructions that, when executed, causes a processor configured as part of an inverse spectroscopic optical coherence tomography (ISOCT) system to at least: generate three-dimensional (3D) data using an inverse Fourier transform of interferometric data related to a tissue sample; generate four-dimensional (4D) data using a short frequency Fourier transform of the interferometric data; calculate a mass fractal dimension value of the tissue sample based on the 4D data; calculate a backscattering coefficient of the tissue sample based on the 3D data; calculate a scattering coefficient of the tissue sample based on the 3D data and the 4D data; and determine a type of tissue based on at least one of the mass fractal dimension value, the backscattering coefficient, and the scattering coefficient of the tissue sample. 16. The storage medium of claim 15 , wherein the instructions, when executed, further cause the processor to correct at least one of the mass fractal dimension value, the backscattering coefficient, and the scattering coefficient based on a wavelength attenuation. 17. The storage medium of claim 15 , wherein the instructions, when executed, further cause the processor to reduce at least one of the mass fractal dimension value, the backscattering coefficient, and the scattering coefficient based on an upper length scale of a correlation function. 18. The storage medium of claim 15 , wherein the instructions, when executed, further cause the processor to filter the interferometric data using a Gaussian spectral wavelet window. 19. The storage medium of claim 15 , wherein the instructions, when executed, further cause the processor to select a region of interest for which to calculate the mass fractal dimension value of the tissue sample. 20. The storage medium of claim 15 , wherein the instructions, when executed, further cause the processor to normalize the 3D data and the 4D data using a reflectance spectrum from a reference arm.

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Classifications

  • spatially resolved investigating of object in scattering medium (in vivo A61B) · CPC title

  • Optical coherence imaging · CPC title

  • Imaging in the frequency domain, e.g. by using a spectrometer · CPC title

  • Tomographic interferometers, e.g. based on optical coherence · CPC title

  • characterised by particular signal processing and presentation · CPC title

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What does patent US10241041B2 cover?
A method and system to measure and image the full optical scattering properties by inverse spectroscopic optical coherence tomography (ISOCT) is disclosed. Tissue is modeled as a medium with continuous refractive index (RI) fluctuation and such a fluctuation is described by the RI correlation functions. By measuring optical quantities of tissue (including the scattering power of the OCT spectru…
Who is the assignee on this patent?
Univ Northwestern
What technology area does this patent fall under?
Primary CPC classification G01N21/4795. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 26 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).