Ostomy condition classification with image data transformation, devices and related methods
A method for classifying an ostomy condition is disclosed, the method comprising obtaining image data; determining one or more ostomy representations including a first ostomy parameter based on the image data; and outputting the first ostomy parameter, wherein the method comprises transforming the image data, and wherein determining the one or more ostomy representations based on the image data comprises determining the first ostomy parameter based on the transformed image data.
1. A method for classifying an ostomy condition, the method comprising:
obtaining image data of a camera, the image data comprising stoma image data of a stomal area including a stoma and/or appliance image data of an adhesive surface of an ostomy appliance;
determining a position parameter representative of a position of an image plane of the camera in relation to at least one of the stomal area or the adhesive surface, wherein the position parameter comprises an angle parameter representative of an angle between:
an optical axis of the camera; and
an axial direction of either the stomal area or normal to the adhesive surface;
transforming the image data based on the angle parameter, thereby generating transformed image data;
determining one or more ostomy representations, comprising a first ostomy parameter, based on the transformed image data; and
outputting the first ostomy parameter.
2. The method according to claim 1 , wherein the position parameter comprises a distance parameter representative of a distance between the camera and the stomal area/adhesive surface, and wherein the transformed image data are based on the distance parameter.
3. The method according to claim 1 , wherein the position parameter comprises a rotation parameter representative of a rotational angle between the optical axis of the camera and a reference axis of the stomal area/adhesive surface, and wherein the transformed image data are based on the rotation parameter.
4. The method according to claim 1 , wherein transforming the image data comprises fitting the image data to a stomal area model image and/or an appliance model image.
5. The method according to claim 1 , wherein transforming the image data comprises identifying a first stoma reference indicator on the stomal area, and wherein the transformed image data are based on the first stoma reference indicator.
6. The method according to claim 5 , wherein the first stoma reference indicator is a perimeter of the stoma.
7. The method according to claim 1 , wherein transforming the image data comprises identifying a first appliance reference indicator on the adhesive surface of the ostomy appliance, and wherein the transformed image data are based on the first appliance reference indicator.
8. The method according to claim 7 , wherein the first appliance reference indicator is a perimeter of the ostomy appliance.
9. The method according to claim 1 , wherein transforming the image data comprises identifying a second appliance reference indicator on the adhesive surface of the ostomy appliance, wherein the transformed image data are based on the second appliance reference indicator, and wherein the second appliance reference indicator is an edge of a stomal opening of the ostomy appliance.
10. The method according to claim 1 , wherein transforming the image data comprises scaling the image data to a predetermined pixel size.
11. The method according to claim 10 , wherein scaling the image data comprises determining a scaling parameter, and wherein the transformed image data are based on the scaling parameter.
12. The method according to claim 1 , wherein the first ostomy parameter is a discoloration index indicative of discoloration of the stomal area.
13. The method according to claim 1 , wherein the first ostomy parameter is a leakage parameter indicative of output distribution on the adhesive surface.
14. A method for classifying an ostomy condition, the method comprising:
obtaining image data of a camera, the image data comprising stoma image data of a stomal area including a stoma and/or appliance image data of an adhesive surface of an ostomy appliance;
determining a position parameter representative of a position of an image plane of the camera in relation to at least one of the stomal area or the adhesive surface, wherein the position parameter comprises a distance parameter representative of a distance between the camera and the stomal area or the adhesive surface;
transforming the image data based on the distance parameter, thereby generating transformed image data;
determining one or more ostomy representations, comprising a first ostomy parameter, based on the transformed image data; and
outputting the first ostomy parameter.
15. The method according to claim 14 , wherein transforming the image data comprises identifying a first stoma reference indicator on the stomal area, and wherein the transformed image data are based on the first stoma reference indicator.
16. The method according to claim 15 , wherein the first stoma reference indicator is a perimeter of the stoma.
17. The method according to claim 14 , wherein transforming the image data comprises identifying a first appliance reference indicator on the adhesive surface of the ostomy appliance, and wherein the transformed image data are based on the first appliance reference indicator.
18. A method for classifying an ostomy condition, the method comprising:
obtaining image data of a camera, the image data comprising stoma image data of a stomal area including a stoma and/or appliance image data of an adhesive surface of an ostomy appliance;
determining a position parameter representative of a position of an image plane of the camera in relation to at least one of the stomal area or the adhesive surface, wherein the position parameter comprises a rotation parameter representative of a rotational angle between:
an optical axis of the camera; and
a reference axis of either the stomal area or the adhesive surface;
transforming the image data based on the rotation parameter, thereby generating transformed image data;
determining one or more ostomy representations, comprising a first ostomy parameter, based on the transformed image data; and
outputting the first ostomy parameter.
19. The method according to claim 18 , wherein transforming the image data comprises identifying a first stoma reference indicator on the stomal area, and wherein the transformed image data are based on the first stoma reference indicator.
20. The method according to claim 19 , wherein the first stoma reference indicator is a perimeter of the stoma.