Method and system for wound assessment and management

US11337612B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11337612-B2
Application numberUS-201414491794-A
CountryUS
Kind codeB2
Filing dateSep 19, 2014
Priority dateDec 3, 2013
Publication dateMay 24, 2022
Grant dateMay 24, 2022

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Described herein is a system and method for determining characteristics of a wound. The system includes a first imaging sensor that obtains imaging information of a wound area and a second imaging sensor that obtains topology information of the wound area. The system further includes circuitry that designates a representative background portion of the wound area from the imaging information of the wound area, that designates a representative wound portion of the wound area from the imaging information of the wound area, that determines the boundary of the wound portion within the imaging information of the wound area based on the designated representative background and wound portions, that correlates the imaging information and the topology information, that applies the boundary of the wound portion designated within the imaging information to the topology information to designate a mask area, and that determines characteristics of the wound portion within the mask area based on the topology information and the imaging information.

First claim

Opening claim text (preview).

The invention claimed is: 1. A system for determining characteristics of a medical injury, comprising: one or more imaging sensors that obtain imaging information and topology information of an area of interest, the imaging information including two-dimensional information of objects in the area of interest and the topology information including three-dimensional information of objects in the area of interest; and processing circuitry configured to determine, using the imaging information, a two-dimensional boundary of an injury portion within the imaging information, wherein the two-dimensional boundary of the injury portion is a locus of points enclosing the injury portion within the imaging information, map only the locus of points enclosing the injury portion within the imaging information to a corresponding locus of points within the topology information based on a fixed geometric relationship between the one or more imaging sensors, generate a three-dimensional point cloud based on the corresponding locus of points within the topology information, the three-dimensional point cloud defining the medical injury, and determine characteristics of the medical injury based on the three-dimensional point cloud, wherein the characteristics include a depth of the medical injury, and the characteristics are displayed for assessment of the medical injury. 2. The system according to claim 1 , wherein the processing circuitry is further configured to designate a representative background portion of the area of interest from the imaging information, designate a representative injury portion of the area of interest from the imaging information, and determine the two-dimensional boundary of the injury portion within the imaging information based on the designated representative background portion and the designated representative injury portion. 3. The system according to claim 2 , wherein the processing circuitry is further configured to designate the representative injury portion of the area of interest from the imaging information based on user input or pixel characteristic differences. 4. The system according to claim 2 , wherein the processing circuitry is configured to determine the two-dimensional boundary of the injury portion within the imaging information by detecting contours in the designated representative injury portion of the area of interest. 5. The system according to claim 2 , wherein the processing circuitry is configured to determine the two-dimensional boundary of the injury portion within the imaging information by detecting contours in the designated representative injury portion of the area of interest and iterating over all contours. 6. The system according to claim 1 , wherein the processing circuitry is further configured to classify the medical injury by dividing the injury portion into tiles, calculating a measure of central tendency for imaging values of each tile, and classifying each tile using injury type information generated by a previously trained machine learning classifier, the injury type information including healthy tissue, slough tissue, and eschar tissue. 7. The system according to claim 6 , wherein the previously trained machine learning classifier generates the injury type information using processing circuitry configured to, for a set of annotated images, divide each image into tiles, calculate a measure of central tendency for imaging values of each tile, designate each tile according to an injury type, and apply cross-validation using a separate test set. 8. The system according to claim 1 , wherein the characteristics of the medical injury further include maximum depth, average depth, width, and length of the medical injury or include perimeter, area, and volume of the medical injury. 9. The system according to claim 1 , wherein the processing circuitry is configured to determine the two-dimensional boundary of the injury portion within the imaging information by utilizing an automatic image segmentation algorithm. 10. The system according to claim 1 , wherein the objects are portions of a body of a patient suffering the medical injury. 11. The system according to claim 1 , wherein the one or more imaging sensors includes two or more sensors that simultaneously acquire the imaging information and the topology information. 12. The system according to claim 1 , wherein the one or more imaging sensors include a structure sensor that projects light from the structure sensor. 13. The system according to claim 1 , wherein the processing circuitry is further configured to combine multiple topology maps included in the topology information to generate a single combined topology map as the topology map. 14. The system according to claim 1 , wherein the processing circuitry is further configured to generate other topology information representing a surface of the area of interest in an absence of the medical injury, the other topology information being generated using a part of the topology information that is outside of the medical injury to extrapolate the other topology information, determine a volume of the medical injury using a difference between the other topology information and the topology information, and determine a maximum depth of medical injury using a maximum of the difference between the other topology information and the topology information. 15. A device for determining characteristics of a medical injury, comprising: processing circuitry configured to obtain imaging information and topology information of an area of interest, the imaging information and the topology information having been acquired using one or more imaging sensors, the imaging information including two-dimensional information of objects in the area of interest and the topology information including three-dimensional information of objects in the area of interest, determine, using the imaging information, a two-dimensional boundary of an injury portion within the imaging information, wherein the two-dimensional boundary of the injury portion is a locus of points enclosing the injury portion, map only the locus of points enclosing the injury portion within the imaging information to a corresponding locus of points within the topology information based on a fixed geometric relationship between the one or more imaging sensors, generate a three-dimensional point cloud based on the corresponding locus of points within the topology information, the three-dimensional point cloud defining the medical injury, and determine characteristics of the medical injury based on the three-dimensional point cloud, wherein the characteristics include a depth of the medical injury, and the characteristics are displayed for assessment of the medical injury. 16. The device according to claim 15 , wherein the processing circuitry is further configured to designate a representative background portion of the area of interest from the imaging information, designate a representative injury portion of the area of interest from the imaging information, and determine the two-dimensional boundary of the injury portion within the imaging information based on the designated representative background portion and the designated representative injury portion. 17. The device according to claim 16 , wherein the processing circuitry is further configured to designate a representative injury portion of the area of interest from the imaging information based on user input or pixel characteristic differences. 18. The device according to claim 16 ,

Assignees

Inventors

Classifications

  • A61B5/445Primary

    Evaluating skin irritation or skin trauma, e.g. rash, eczema, wound, bed sore · CPC title

  • A61B5/0077Primary

    Devices for viewing the surface of the body, e.g. camera, magnifying lens · CPC title

  • using optical or photographic means · CPC title

  • by tomography, i.e. reconstruction of 3D images from 2D projections (A61B5/0066 takes precedence) · CPC title

  • Tumor; Lesion · CPC title

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What does patent US11337612B2 cover?
Described herein is a system and method for determining characteristics of a wound. The system includes a first imaging sensor that obtains imaging information of a wound area and a second imaging sensor that obtains topology information of the wound area. The system further includes circuitry that designates a representative background portion of the wound area from the imaging information of …
Who is the assignee on this patent?
Childrens Nat Medical Ct
What technology area does this patent fall under?
Primary CPC classification A61B5/445. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue May 24 2022 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).