System and method for segmentation and automated measurement of chronic wound images
AssigneeOhio State Innovation Foundation
InventorsMetin N. Gurcan, Chandan K. Sen, Gayle Gordillo
Life of this patent
Estimating the term…
Abstract
Disclosed are systems and methods for automated monitoring of the size, area or boundary of chronic wound images. The disclosure includes use of a probability map that measures the likelihood of wound pixels belonging to granulation, slough or eschar, which can then be segmented using any standard segmentation techniques. Measurement of the wound size, area or boundary occurs automatically and without user input related to outlining, filling in, or making measurement lines over the image on a display.
Claims28
A method for segmentation and automated measurement of chronic wound images using a smartphone, said method comprising:
- obtaining a digital image of a wound using a camera of the smartphone;
- automatically determining from the digital image of the wound a boundary of the wound using a processor of the smartphone;
- automatically determining an area of the wound from the boundary of the wound using the processor of the smartphone by segmenting pixels of the digital image as belonging to the wound or not being associated with the wound;
- automatically transforming each of the one or more pixels segmented as belonging to the wound to a modified Hue-Saturation-Value (HSV) color space;
- and
- automatically classifying each of the one or more pixels segmented as belonging to the wound and transformed to the HSV color space as belonging to one of a tissue group comprised of granulation, slough or eschar tissue based on a distance of each of the one or more pixels segmented and transformed to red, yellow, black and white colors in the modified HSV color space using the processor of the smartphone.
A system for segmentation and automated measurement of chronic wound images comprising:
- a smartphone, wherein the smartphone comprises an image capture device;
- a memory;
- and a processor in communication with the memory, wherein the processor executes computer-readable instructions stored in the memory that cause the processor to;
- obtain a digital image that has been captured by the image capture device, wherein at least a portion of the image comprises a wound;
- automatically determine from the digital image of the wound a boundary of the wound using a processor of the smartphone;
- and
- automatically determine an area of the wound from the boundary of the wound using the processor of the smartphone by segmenting pixels of the digital image as belonging to the wound or not being associated with the wound;
- automatically transform each of the one or more pixels segmented as belonging to the wound to a modified Hue-Saturation-Value (HSV) color space;
- and
- automatically classify each of the one or more pixels segmented as belonging to the wound and transformed to the HSV color space as belonging to one of a tissue group comprised of granulation, slough or eschar tissue based on a distance of each of the one or more pixels segmented and transformed to red, yellow, black and white colors in the modified HSV color space using the processor of the smartphone.
Dependencies are inferred from the claim text.