# US 12,178,612 B2 · Intravascular measurement and data collections systems > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,178,612 B2 - Document ID: US12178612B2 - Status: Granted - Kind: B2 - Application number: 18/367,588 - Filed: 2023-09-13 - Published: 2023-12-28 - Granted: 2024-12-31 - Earliest claimed: 2008-06-02 - Assignees: LightLab Imaging, Inc. - Applicants: LightLab Imaging, Inc. - Inventors: Joseph M. Schmitt; Chenyang Xu - Web page: https://patentgrep.com/patent/US12178612B2 ## CPC - A61B 5/6852: {Catheters} - A61B 5/0066: {Optical coherence imaging} - A61B 5/7264: {Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract A method and apparatus for determining properties of a tissue or tissues imaged by optical coherence tomography (OCT). In one embodiment the backscatter and attenuation of the OCT optical beam is measured and based on these measurements and indicium such as color is assigned for each portion of the image corresponding to the specific value of the backscatter and attenuation for that portion. The image is then displayed with the indicia and a user can then determine the tissue characteristics. In an alternative embodiment the tissue characteristics is classified automatically by a program given the combination of backscatter and attenuation values. ## Claims ### Claim 1 A system of analyzing and imaging a blood vessel, the system comprising: memory configured to store electronic data; and one or more processors configured to access the memory, and wherein the one or more processors are further configured to: store image data of a blood vessel in the memory; analyze one or more images of the blood vessel from the image data, wherein the one or more images comprises one or more portions of a wall of the blood vessel; detect a lumen boundary in connection with the one or more images; detect one or more tissue boundaries in connection with the one or more images, wherein detecting the one or more tissue boundaries comprises identification of changes in a depth profile of image intensity values within the image data; determine a tissue type within the one or more tissue boundaries; and provide for display a first image from the one or more images, wherein the display of the first image includes adding a visual representation of the determined tissue type in the first image. ### Claim 2 (depends on 1) The system of claim 1, wherein the tissue type is a tissue comprising calcium. ### Claim 3 (depends on 1) The system of claim 1, wherein the visual representation comprises at least one of an overlay, a colormap, a color, a texture map, and text. ### Claim 4 (depends on 1) The system of claim 1, wherein determining the tissue type comprises performing a statistical discriminant analysis of region of the one or more images within a tissue boundary. ### Claim 5 (depends on 1) The system of claim 1, wherein the tissue type is selected from the group consisting of cholesterol, fiber, lipid, fibrofatty, red thrombus, white thrombus, foam cells, and proteoglycan. ### Claim 6 (depends on 1) The system of claim 1, where in the one or more processors are further configured to access a database with histology data collected in parallel with collection of image data, and determine the tissue type using the populated database. ### Claim 7 (depends on 1) The system of claim 1, wherein the display includes a visual representation of the tissue boundary that is based on one or more discontinuities in the depth profile of the image intensity values within the image data. ### Claim 8 (depends on 1) The system of claim 1, wherein the one or more images are captured by an imaging probe that is a rotatable optical coherence tomography probe that is disposed in and pulled back through a lumen of the blood vessel. ### Claim 9 (depends on 8) The system of claim 8 wherein the one or more processors are further configured to correct a focusing effect of imaging probe to improve tissue type determination, wherein the rotatable optical coherence tomography probe comprises a lens to send and receive light. ### Claim 10 (depends on 8) The system of claim 8 wherein the imaging probe is rotated and wherein the one or more processors are configured to apply an angular intensity correction to account for an attenuation effect. ### Claim 11 (depends on 8) The system of claim 8, wherein the image data comprises backscattering data. ### Claim 12 (depends on 11) The system of claim 11 wherein the one or more processors are further configured to compare the backscattering data to a first threshold, the backscattering data mapping to a first location in the one or more images; and if the backscattering data exceeds the first threshold, characterize the first location in the one or more images as having a first tissue characteristic. ### Claim 13 (depends on 8) The system of claim 8, wherein the image data further comprises attenuation data. ### Claim 14 (depends on 13) The system of claim 13 wherein the one or more processors are further configured to determine the tissue type at a location in the blood vessel corresponding to an image location in one of the one or more images in response to the attenuation value and backscattering value at the image location. ### Claim 15 (depends on 13) The system of claim 13 wherein the one or more processors are further configured to measure an attenuation value and a backscattering value at a point in the blood vessel, wherein the point is within the tissue boundary. ### Claim 16 (depends on 15) The system of claim 15 wherein the one or more processors are further configured to determine the tissue type at the point in response to the measured attenuation value and backscattering value. ### Claim 17 (depends on 13) The system of claim 13, wherein determining the tissue type further comprises generating a backscatter-attenuation space. ### Claim 18 (depends on 17) The system of claim 17, wherein determining the tissue type further comprises mapping a pair of coordinates in the backscatter-attenuation space to a second visual representation of a value of the pair of coordinates in the backscatter-attenuation space. ### Claim 19 (depends on 18) The system of claim 18 wherein the one or more processors are further configured to determine backscattering coefficients and attenuation coefficients from the backscattering data and attenuation data. ### Claim 20 (depends on 19) The system of claim 19, wherein the one or more processors are further configured to plot pairs of backscattering coefficients and attenuation coefficients, and determine different tissue types based on clusters formed in the plot of such pairs.