IP Library Granted Patent US 10,013,642
Granted Patent B2
US 10,013,642 · App. 14/814,458 · Granted Jul 3, 2018

Systems and methods for hair loss management

Inventors: Gabriele Zingaretti (Capitola, CA); Miguel G. Canales (Los Altos, CA); James W. McCollum (Coronado, CA)
Assignee: RESTORATION ROBOTICS, INC.
G06K9/6267A61B5/0077A61B5/446A61B5/486A61B5/7264A61B5/7275A61B5/748A61B5/7435A61B34/30G06K9/46G06T7/0012G06K2009/4666G06T2207/30088
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Quick Facts
Patent No.
US 10,013,642
App. No.
14/814,458
Granted
Jul 3, 2018
Kind
B2
Abstract

Comprehensive systems and methods for managing hair loss are provided which enable an individual experiencing hair loss, and/or the person consulting him or her, to manage it and to determine and efficiently plan any appropriate treatment options. Management of hair loss may comprise quantifying hair loss, determining what hair growth stimulation product or treatment to adopt and the best timing for such products and/or treatments, and allowing to track and manage any progress of the selected hair growth stimulation product or treatment.

Claims (54)

1. A computer implemented method for determining and managing hair loss on a body surface, the method comprising:

identifying regions on a body surface, the regions comprising a potential donor area and a potential recipient area;

automatically determining, using computer image processing, proportion of terminal and/or non-terminal hair within the potential donor area and the potential recipient area;

automatically analyzing, using computer image processing, proportions of classes of follicular units within the potential donor area, wherein automatically analyzing proportions of classes of follicular units within the potential donor area comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit, wherein hairs or hair follicles in a follicular unit that are determined to be non-terminal are not counted in the classification;

automatically analyzing, using computer image processing, proportions of classes of follicular units within the potential recipient area, wherein automatically analyzing proportions of classes of follicular units within the potential recipient area comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit, wherein hairs or hair follicles in a follicular unit that are determined to be non-terminal are not counted in the classification; and

proposing one or more actions for managing hair loss based, at least in part, on the determined proportion of terminal and/or non-terminal hair, the proportions of classes of follicular units within the potential recipient area and the proportions of classes of follicular units within the potential donor area.

2. The method of claim 1 , further comprising assigning a hair loss value to the body surface based on the identified regions.

3. The method of claim 1 , wherein the one or more proposed actions comprises one or more of waiting a predetermined time until the method performed again, application of a hair treatment product, administering medicine, application of a hair growth stimulation product, or a hair transplantation procedure.

4. The method of claim 1 , further comprising determining a density in the potential donor area and automatically proposing that a hair transplantation procedure not be considered at present if the hair density is less than 40 hairs per 1 cm 2 .

5. The method of claim 1 , further comprising determining a density in the potential recipient area and automatically proposing that a hair transplantation procedure be considered at present or during a particular time period if the hair density is less than a predetermined number of hair follicles or follicular units per unit area.

6. The method of claim 1 , further comprising determining a number of follicular units in each class taking into consideration existence of terminal and non-terminal hair, wherein each class is based on a number of hair follicles in a follicular unit.

7. The method of claim 1 , further comprising estimating when a hair transplantation procedure is to be performed.

8. The method of claim 1 , wherein the proposal of the one or more actions comprises automatically proposing a hair transplantation if the proportion of non-terminal hair in the recipient area is greater than 20%, and the donor area comprises a density of more than 50 hairs per 1 cm 2 .

9. The method of claim 1 , further comprising determining a phase of hair growth for one or more hair follicles.

10. The method of claim 9 , further comprising determining a proportion of the hair follicles in the donor area in an anagen hair growth phase, and if the proportion is equal or greater than 75%, allowing hair transplantation to be a proposed action.

11. The method of claim 10 , further comprising selecting for transplantation those follicular units in the donor area that have either all or at least half of the hair follicles in the anagen hair growth phase.

12. A system for determining and managing hair loss on a body surface, the system comprising:

at least one non-transitory storage medium storing instructions, and

one or more modules for executing operations on image data, the one or more modules comprising instructions for:

identifying regions on a body surface, the regions comprising a potential donor area and a potential recipient area;

automatically determining, using computer image processing, proportion of terminal and/or non-terminal hair within the potential donor area and the potential recipient area;

automatically analyzing, using computer image processing, proportions of classes of follicular units within the potential donor area, wherein automatically analyzing proportions of classes of follicular units within the potential donor area comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit, wherein hairs or hair follicles in a follicular unit that are determined to be non-terminal are not counted in the classification;

automatically analyzing, using computer image processing, proportions of classes of follicular units within the potential recipient area, wherein automatically analyzing proportions of classes of follicular units within the potential recipient area comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit, wherein hairs or hair follicles in a follicular unit that are determined to be non-terminal are not counted in the classification; and

proposing one or more actions for managing hair loss based, at least in part, on the determined proportion of terminal and/or non-terminal hair, the proportions of classes of follicular units within the potential recipient area and the proportions of classes of follicular units within the potential donor area.

13. The system of claim 12 , further comprising a user interface including one or more of the following: a monitor or display, a keyboard, a pointing device, a remote input device, drop-down menus, touchscreen, a port configured to acquire images, and one or more image acquisition devices or cameras connected to a processing means.

14. The system of claim 12 , further comprising a robotic arm.

15. The system of claim 12 , wherein the system is configured to plan and/or perform a hair transplantation procedure.

16. A computer implemented method for determining and managing hair loss on a body surface, the method comprising:

identifying regions on a body surface, the regions comprising a potential donor area and a potential recipient area;

automatically determining, using computer image processing, proportion of terminal and/or non-terminal hair within the potential donor area and the potential recipient area;

automatically analyzing, using computer image processing, proportions of classes of follicular units within the potential donor area, wherein automatically analyzing proportions of classes of follicular units within the potential donor area comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit and adjusting the classification of the follicular units based on the caliber of the hairs or hair follicles to exclude hairs or hair follicles which are non-terminal;

automatically analyzing, using computer image processing, proportions of classes of follicular units within the potential recipient area, wherein automatically analyzing proportions of classes of follicular units within the potential recipient area comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit and adjusting the classification of the follicular units based on the caliber of the hairs or hair follicles to exclude hairs or hair follicles which are non-terminal; and

proposing one or more actions for managing hair loss based, at least in part, on the determined proportion of terminal and/or non-terminal hair, the proportions of classes of follicular units within the potential recipient area and the proportions of classes of follicular units within the potential donor area.

17. The method of claim 16 , further comprising assigning a hair loss value to the body surface based on the identified regions.

18. The method of claim 16 , wherein the one or more proposed actions comprises one or more of waiting a predetermined time until the method performed again, application of a hair treatment product, administering medicine, application of a hair growth stimulation product, or a hair transplantation procedure.

19. The method of claim 16 , further comprising determining a density in the potential donor area and automatically proposing that a hair transplantation procedure not be considered at present if the hair density is less than 40 hairs per 1 cm 2 .

20. The method of claim 16 , further comprising determining a density in the potential recipient area and automatically proposing that a hair transplantation procedure be considered at present or during a particular time period if the hair density is less than a predetermined number of hair follicles or follicular units per unit area.

21. The method of claim 16 , further comprising determining a number of follicular units in each class taking into consideration existence of terminal and non-terminal hair, wherein each class is based on a number of hair follicles in a follicular unit.

22. The method of claim 16 , further comprising estimating when a hair transplantation procedure is to be performed.

23. The method of claim 16 , wherein the proposal of the one or more actions comprises automatically proposing a hair transplantation if the proportion of non-terminal hair in the recipient area is greater than 20%, and the donor area comprises a density of more than 50 hairs per 1 cm 2 .

24. The method of claim 16 , further comprising determining a phase of hair growth for one or more hair follicles.

25. The method of claim 24 , further comprising determining a proportion of the hair follicles in the donor area in an anagen hair growth phase, and if the proportion is equal or greater than 75%, allowing hair transplantation to be a proposed action.

26. The method of claim 25 , further comprising selecting for transplantation those follicular units in the donor area that have either all or at least half of the hair follicles in the anagen hair growth phase.

27. A system for determining and managing hair loss on a body surface, the system comprising:

at least one non-transitory storage medium storing instructions, and

one or more modules for executing operations on image data, the one or more modules comprising instructions for:

identifying regions on a body surface, the regions comprising a potential donor area and a potential recipient area;

automatically determining, using computer image processing, proportion of terminal and/or non-terminal hair within the potential donor area and the potential recipient area;

automatically analyzing, using computer image processing, proportions of classes of follicular units within the potential donor area, wherein automatically analyzing proportions of classes of follicular units within the potential donor area comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit and adjusting the classification of the follicular units based on the caliber of the hairs or hair follicles to exclude hairs or hair follicles which are non-terminal;

automatically analyzing, using computer image processing, proportions of classes of follicular units within the potential recipient area, wherein automatically analyzing proportions of classes of follicular units within the potential recipient area comprises classifying follicular units based on the number of hairs or hair follicles in a follicular unit and adjusting the classification of the follicular units based on the caliber of the hairs or hair follicles to exclude hairs or hair follicles which are non-terminal; and

proposing one or more actions for managing hair loss based, at least in part, on the determined proportion of terminal and/or non-terminal hair, the proportions of classes of follicular units within the potential recipient area and the proportions of classes of follicular units within the potential donor area.

28. The system of claim 27 , further comprising a user interface including one or more of the following: a monitor or display, a keyboard, a pointing device, a remote input device, drop-down menus, touchscreen, a port configured to acquire images, and one or more image acquisition devices or cameras connected to the processing means.

29. The system of claim 27 , further comprising a robotic arm.

30. The system of claim 27 , wherein the system is configured to plan and/or perform a hair transplantation procedure.

Assignments (8)
SECURITY INTEREST Recorded Jan 19, 2024
From: VENUS CONCEPT INC.
To: EW HEALTHCARE PARTNERS, L.P.
Reel/Frame 066354/0565 →
CHANGE OF NAME Recorded Oct 13, 2021
From: RESTORATION ROBOTICS, INC.
To: VENUS CONCEPT INC.
Reel/Frame 057788/0712 →
CHANGE OF NAME Recorded Oct 7, 2021
From: RESTORATION ROBOTICS, INC.
To: VENUS CONCEPT INC.
Reel/Frame 057843/0981 →
SECURITY INTEREST Recorded Dec 2, 2019
From: VENUS CONCEPT INC.
To: MADRYN HEALTH PARTNERS, LP
Reel/Frame 051156/0892 →
TERMINATION OF PATENT SECURITY AGREEMENT Recorded Nov 7, 2019
From: SOLAR CAPITAL LTD.
To: RESTORATION ROBOTICS, INC.
Reel/Frame 050966/0741 →
RELEASE OF SECURITY INTEREST Recorded Nov 7, 2019
From: SOLAR CAPITAL LTD.
To: RESTORATION ROBOTICS, INC.
Reel/Frame 050965/0765 →
SHORT-FORM PATENT SECURITY AGREEMENT Recorded May 10, 2018
From: RESTORATION ROBOTICS, INC.
To: SOLAR CAPITAL LTD.
Reel/Frame 046125/0518 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 31, 2015
From: ZINGARETTI, GABRIELE; CANALES, MIGUEL G.; MCCOLLUM, JAMES W.
To: RESTORATION ROBOTICS, INC.
Reel/Frame 036232/0009 →
Continuity (1)
Related Publication 20170032223A1 · Feb 2, 2017