Systems and methods for assessing tissue remodeling

A method for assessing tissue remodeling risk, comprising:

• (a) collecting a plurality of images of a lesion located in a target region of a subject's skin, wherein the plurality of images comprises (1) a set of visible light images of the lesion and (2) a set of fluorescent images of the lesion, wherein a fluorescent marker is configured to provide fluorescence when bound to one or more biomarkers associated with tissue remodeling;
• and
• (b) using at least one processor and a non-transitory computer readable storage medium encoded with a computer program:
• (I) processing the plurality of images to determine an optimal image pair for the target region, wherein the optimal image pair comprises:
• (i) a visible light image selected from (1), and (ii) a fluorescent image selected from (2), wherein the optimal image pair is determined automatically using the at least one processor based on (i) a position of the lesion within each of the set of visible light images and each of the set of fluorescent images, (ii) a degree of similarity or correlation between each of the set of visible light images and each of the set of fluorescent images, and (iii) a focus quality of each of the set of visible light images and each of the set of fluorescent images, wherein the visible light image comprises a first set of visual characteristics, wherein the fluorescent image comprises a second set of visual characteristics, wherein at least a portion of the second set of visual characteristics is not visible in the first set of visual characteristics, and wherein at least a portion of the first set of visual characteristics is not visible in the second set of visual characteristics;
• (II) segmenting the visible light image to identify a border of the lesion, wherein the segmenting of the visible light image comprises converting the visible light image into an intensity image;
• (III) adding the border of the lesion identified from the visible light image to the fluorescent image based on a location of the fluorescent marker;
• (IV) generating an assessment of the target region based at least on the optimal image pair, wherein the generating of the assessment of the target region comprises evaluating an aggregate score for the optimal image pair,
• wherein the aggregate score comprises a visible score for the visible light image and a fluorescent score for the fluorescent image, wherein the visible score is based on a first set of metrics associated with the first set of visual characteristics in the visible light image, wherein the first set of metrics comprises one or more of the following:
• size, shape, volume, color, or surface texture of the lesion and its surrounding area, wherein the fluorescent score is based on a second set of metrics associated with the second set of visual characteristics in the fluorescent image, and wherein the second set of metrics comprises one or more of the following:
• size, shape, area or extent of tissue remodeling, pixel intensity, fluorescence intensity, patterns or texture in the target region beneath the subject's skin and surrounding the lesion,
• wherein the visible score comprises one or more measures of asymmetry, border irregularity, color variegation, and diameter of the lesion based at least in part on the border of the lesion identified by the segmenting in (II), and
• wherein the fluorescent score comprises one or more measures of intensity and texture of fluorescence in the fluorescent image based at least in part on the border of the lesion added to the fluorescent image in (III);
• and
• (V) displaying on a graphical user interface the assessment, the optimal image pair, and a schematic showing a location of the target region on the subject's body, wherein the assessment of the target region is indicative of a probability of tissue remodeling at the target region.