Anatomical surface assessment methods, devices and systems
Methods for assessing a skin surface of a patient and associated systems and devices are described herein. A method configured in accordance with embodiments of the present technology can include, for example, receiving a three-dimensional data set representative of the patient's skin surface and determining a boundary of a feature of the patient's skin in the three-dimensional data set. The method can further include determining, with a processor, a three-dimensional surface area of the feature within the boundary. In some embodiments, the method can also include identifying a plurality of sub-regions within the boundary and identifying one or more tissue types in each sub-region.
1. A method of assessing a feature on a patient's skin surface, comprising:
i capturing three-dimensional topographical image data of the patient's skin surface with a three-dimensional camera;
ii. processing the captured image data to form a three-dimensional topographical data set representative of the patient's skin surface,
iii. determining a boundary of the feature in the three-dimensional topographical data set;
iv. determining, with a processor, a three-dimensional surface area of the feature within the boundary;
v. identifying a plurality of sub-regions within the boundary;
vi. identifying one or more tissue types in each of the sub-regions; and
vii. receiving a user input manually adjusting one or more of the identified sub-regions.
2. The method of claim 1 wherein identifying the plurality of sub-regions includes automatically identifying, with a processor, the plurality of sub-regions.
3. The method of claim 2 wherein automatically identifying the plurality of sub-regions includes analyzing one or more of
a. the three-dimensional topographical data set;
b. thermal image data;
fluorescence image data; and
d. texture image data.
4. The method of claim 1 wherein identifying the plurality of sub-regions includes receiving, via a user interface, a user input manually identifying the plurality of sub-regions.
5. The method of claim 1 wherein identifying the plurality of sub-regions includes
receiving, via a user interface, a user input manually identifying one or more of the plurality of sub-regions; and
automatically identifying, with a processor, one or more others of the plurality of sub-regions.
6. The method of claim 1 wherein the method further comprises determining, for each sub-region of the plurality of sub-regions, a proportion of a surface area of that sub-region occupied by each tissue type identified in that sub-region.
7. The method of claim 1 wherein the method further comprises:
determining, for each sub-region of the plurality of sub-regions, a proportion of a surface area of that sub-region occupied by each tissue type identified in that sub-region;
determining a surface area of each sub-region of the plurality of sub-regions; and
aggregating the determined proportions of tissue types to determine one or more of (a) an aggregated surface area occupied by each tissue type, and (b) an aggregated proportion of the surface area of the feature occupied by each tissue type.
8. The method of claim 1 wherein the method further comprises:
determining, for each sub-region of the plurality of sub-regions, a proportion of a surface area of that sub-region occupied by each tissue type identified in that sub-region;
determining a surface area of each sub-region of the plurality of sub-regions; and
aggregating the determined proportions of tissue types and aggregating the tissue types into tissue classes, to determine one or more of (a) an aggregated surface area occupied by each tissue class, and (b) an aggregated proportion of the surface area of the feature occupied by each tissue class.
9. The method of claim 8 wherein the tissue classes include a viable tissue class and a non-viable tissue class.
10. The method of claim 1 wherein the feature is a wound and the surface area is a wound bed area.
11. The method of claim 1 wherein receiving the user input manually adjusting the one or more of the identified sub-regions includes:
displaying, via a user interface, data indicative of at least the one or more of the identified sub-regions to be adjusted; and
receiving, via the user interface, a user manipulation of the displayed data.
12. The method of claim 1 wherein the method further includes displaying the identified sub-regions and overlaying previously gathered data for one or more of the identified sub-regions.
13. The method of claim 1 wherein the method further comprises monitoring trends in tissue type area or proportions over time.
14. The method of claim 1 wherein the method further comprises displaying tissue type area or proportions, or tissue class area or proportions.
15. A method of assessing a feature on a patient's skin surface, comprising:
i. capturing three-dimensional topographical image data of the patient's skin surface with a three-dimensional camera;
ii. processing the captured image data to form a three-dimensional topographical data set representative of the patient's skin surface,
iii. determining a boundary of the feature in the three-dimensional topographical data set;
iV. determining with a processor a three-dimensional surface area of the feature within the boundary; and
v. identifying a plurality of sub-regions within the boundary and identifying one or more tissue types in each sub-region, wherein identifying the plurality of sub-regions includes
receiving, via a user interface, a user input manually identifying one or more of the plurality of sub-regions; and
automatically identifying, with a processor, one or more others of the plurality of sub-regions.
16. A method of assessing a feature on a patient's skin surface, comprising:
i. capturing three-dimensional topographical image data of the patient's skin surface with a three-dimensional camera;
ii. processing the captured image data to form a three-dimensional topographical data set representative of the patient's skin surface,
iii. determining a boundary of the feature in the three-dimensional topographical data set;
iv. determining, with a processor, a three-dimensional surface area of the feature within the boundary;
v. identifying a plurality of sub-regions within the boundary;
vi. identifying one or more tissue types in each sub-region; and
vii. based at least in part on the identified tissue types, determining and displaying an indicator of complexity of the feature.
17. The method of claim 16 wherein the method further comprises monitoring trends in the complexity over time.
18. The method of claim 16 wherein determining the indicator of complexity is based at least in part on proportions of the identified tissue types.
19. The method of claim 16 wherein the method further comprises:
determining for each sub-region a proportion of a surface area of that sub-region occupied by each tissue type identified in that sub-region;
determining a surface area of each sub-region; and
aggregating the determined proportions of tissue types to determine one or more of (a) an aggregated surface area occupied by each tissue type and (b) an aggregated proportion of the surface area of the feature occupied by each tissue type, wherein the indicator of complexity is determined based on the identified tissue types and their aggregated proportions.