Dermal image capture
A dermal imaging system coordinates operation of an illumination unit, one or more lenses, and a camera to capture a sequence of images of an area of interest on a skin surface. The system automatically tags each image in the sequence of images. The tag for each image identifies a light source, an illumination angle, and a filter selected for capturing the image. The system automatically selects at least one image from the sequence of images, and analyzes the selected image from the sequence of images to provide a recommended skin disease diagnosis.
1 . A dermal imaging system, comprising:
a camera;
an illumination unit having an array of light sources, each light source configured to emit light at a predetermined wavelength;
one or more lenses that each selectively apply an optical effect; and
a controller configured to control operation of the camera, the illumination unit, and the one or more lenses, the controller having at least one processor, and a memory storing instructions which, when executed by the at least one processor, cause the system to:
coordinate the operation of the illumination unit, the one or more lenses, and the camera to capture a sequence of images of an area of interest on a skin surface, each image in the sequence of images captured using a different combination of a light source selected from the array of light sources and a lens selected from the one or more lenses;
automatically tag each image in the sequence of images, the tag for each image identifying the combination of the light source selected from the array of light sources and the lens selected from the one or more lenses;
automatically select at least one image from the sequence of images based on image quality; and
analyze the at least one image selected from the sequence of images to provide a recommended skin disease diagnosis, wherein analyze the at least one image includes using one or more computer-aided algorithms that analyze the at least one image and the tag to provide the recommended skin disease diagnosis.
2 . The system of claim 1 , wherein the array of light sources include light-emitting diodes, lasers, or optical lamps.
3 . The system of claim 1 , wherein the memory stores further instructions which, when executed by the at least one processor, cause the system to:
perform multispectral imaging on the area of interest to identify one or more features through the skin surface where the area of interest is located.
4 . The system of claim 1 , wherein the memory stores further instructions which, when executed by the at least one processor, cause the system to:
adjust an angle of illuminated light from a light source selected from the array of light sources.
5 . The system of claim 1 , wherein the controller selectively applies one or more optical effects when capturing the sequence of images such that some images are captured with polarization and other images are captured without polarization.
6 . The system of claim 1 , wherein the one or more lenses include at least one of a linear polarizer, a crossed polarizer, a circular polarizer, a red-free filter, and a high-contrast filter.
7 . The system of claim 1 , wherein a combination of light source, illumination angle, and optical effect is automatically selected by the controller based on a selected screening for skin disease, or patient characteristics such as age or skin color.
8 . The system of claim 1 , wherein the recommended skin disease diagnosis is melanoma, basal cell carcinomas, squamous cell carcinomas, or actinic keratosis.
9 . The system of claim 1 , wherein the memory stores further instructions which, when executed by the at least one processor, cause the system to:
perform image quality algorithms to determine the image quality of the at least one image from the sequence of images.
10 . The system of claim 1 , wherein the tag for each image in the sequence of images includes metadata that is associated with each image.