Measuring and monitoring skin feature colors, form and size

US12295739B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12295739-B2
Application numberUS-202318311116-A
CountryUS
Kind codeB2
Filing dateMay 2, 2023
Priority dateJan 27, 2015
Publication dateMay 13, 2025
Grant dateMay 13, 2025

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Abstract

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Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.

First claim

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The invention claimed is: 1. A non-transitory computer readable storage medium storing instructions that, when executed by a processor, cause the processor to perform a method for image skin diagnosis, the method comprising: receiving a group of images of a skin feature next to a calibrator having a plurality of colored areas thereon, wherein the skin feature has multiple segments of differing colors, wherein the plurality of colored areas are selected based on a specific medical condition; analyzing the colors of the multiple segments of the skin feature and the plurality of colored areas of the calibrator commonly captured on at least one image to determine actual colors of the multiple segments of the skin feature; and based on the differing colors of the multiple segments of the skin feature, determining an indication of a medical condition associated with the skin feature. 2. The non-transitory computer readable storage medium of claim 1 , further comprising: identifying a three-dimensional structure of the skin feature; and determining the indication of the medical condition associated with the skin feature based on the identified three-dimensional structure of the skin feature and—the differing colors of the multiple segments of the skin feature. 3. The non-transitory computer readable storage medium of claim 2 , wherein identifying the three-dimensional structure of the skin feature includes determining at least one three-dimensional geometrical parameter of the skin feature. 4. The non-transitory computer readable storage medium of claim 3 , wherein determining the indication of the medical condition is based on a rate of change of at least one skin feature parameter selected from a group including: a distribution of colors, a three-dimensional geometrical parameter, and dimensions of at least one segment of the skin feature. 5. The non-transitory computer readable storage medium of claim 4 , wherein the method further comprises: tracking the medical condition over time using comparisons from multiple groups of images received periodically. 6. The non-transitory computer readable storage medium of claim 4 , wherein the method further comprises: monitoring temporal changes of at least one skin feature parameter selected from a group including: a distribution of colors, a three-dimensional geometrical parameter, and dimensions of at least one segment of the skin feature to track a healing progress of a skin feature. 7. The non-transitory computer readable storage medium of claim 1 , wherein the plurality of colored areas are associated with an expected range of colors of the skin feature under various illumination and capturing conditions. 8. The non-transitory computer readable storage medium of claim 1 , wherein the method further comprises: determining distribution of colors in the skin feature; and determining the indication of the medical condition based on the distribution of colors in the skin feature. 9. The non-transitory computer readable storage medium of claim 1 , wherein the method further comprises: determining a depth of the skin feature; and determining the indication of the medical condition based on the depth of the skin feature. 10. The non-transitory computer readable storage medium of claim 1 , wherein, when the specific medical condition is melanoma, the plurality of colored areas include shades of brown and red. 11. A method for image skin diagnosis, the method comprising: receiving a group of images of a skin feature next to a calibrator having a plurality of colored areas thereon, wherein the skin feature has multiple segments of differing colors, wherein the plurality of colored areas are selected based on a specific medical condition; analyzing the colors of the multiple segments of the skin feature and the plurality of colored areas of the calibrator commonly captured on at least one image to determine actual colors of the multiple segments of the skin feature; and based on the differing colors of the multiple segments of the skin feature, determining an indication of a medical condition associated with the skin feature. 12. The method of claim 11 , wherein the plurality of colored areas on the calibrator have different sizes. 13. The method of claim 11 , wherein the calibrator includes a first set of colors expected to be found in the skin feature. 14. The method of claim 13 , wherein the calibrator includes a second set of colors different from the first set for calibrating illumination conditions. 15. The method of claim 13 , further comprising: determining a skin color of a patient; and considering the skin color when identify the differing colors of the multiple segments of the skin feature. 16. The method of claim 13 , further comprising: identifying at least one illumination condition associated with the group of images; and reducing the effect of the at least one illumination condition on the differing colors of the multiple segments of the skin feature. 17. The method of claim 16 , further comprising: generating an alert when at least one illumination condition is inappropriate for accurate color detection; and suggesting a modification to the identified at least one illumination condition. 18. The method of claim 11 , wherein the calibrator includes one or more holes to accommodate the skin feature. 19. The method of claim 11 , further comprising: identifying at least one capturing condition associated with the group of images; and reducing the effect of the at least one capturing condition on the differing colors of the multiple segments of the skin feature. 20. The method of claim 11 , further comprising: generating an alert when at least one capturing condition is inappropriate for accurate color detection; and suggesting a modification to the identified at least one capturing condition. 21. A system for image skin diagnosis, the system comprising: at least one processing device configured to; receive a group of images of a skin feature next to a calibrator having a plurality of colored areas thereon, wherein the skin feature has multiple segments of differing colors, wherein the plurality of colored areas are selected based on a specific medical condition; analyze the colors of the multiple segments of the skin feature and the plurality of colored areas of the calibrator commonly captured on at least one image to determine actual colors of the multiple segments of the skin feature; and based on the differing colors of the multiple segments of the skin feature, determining an indication of a medical condition associated with the skin feature.

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What does patent US12295739B2 cover?
Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features …
Who is the assignee on this patent?
Healthy Io Ltd, Healthy Io
What technology area does this patent fall under?
Primary CPC classification A61B5/444. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue May 13 2025 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 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).