Patent classifications
A61B5/1034
METHODS AND ARRANGEMENTS CONCERNING DERMATOLOGY
Reference imagery of dermatological conditions is compiled in a crowd-sourced database (contributed by clinicians and/or the lay public), together with associated diagnosis information. A user later submits a query image to the system (e.g., captured with a smartphone). Image-based derivatives for the query image are determined (e.g., color histograms, FFT-based metrics, etc.), and are compared against similar derivatives computed from the reference imagery. This comparison identifies diseases that are not consistent with the query image, and such information is reported to the user. Depending on the size of the database, and the specificity of the data, 90% or more of candidate conditions may be effectively ruled-out, possibly sparing the user from expensive and painful biopsy procedures, and granting some peace of mind (e.g., knowledge that an emerging pattern of small lesions on a forearm is probably not caused by shingles, bedbugs, malaria or AIDS). A great number of other features and arrangements are also detailed.
Tissue color measurement device
The disclosure provides a device for measuring serum bilirubin levels and uses thereof. The device includes a plate including a surface comprising: a stepwise gradient of colors; a lighting indicator; and a series of windows in the surface, each window in the series bordered by one of the colors, and each window including a transparent portion in the plate.
Measuring Teeth Whiteness System and Method
A method and system are presented for measuring the whiteness of teeth. This is accomplished by analyzing an average pixel value of teeth taken from a digital image. The pixel value is mathematically standardized to create an indicator that quantifies teeth whiteness. This eliminates subjectivity in measuring teeth whiteness and permits precise communication of the level of teeth whiteness.
Detection of Borders of Benign and Malignant Lesions Including Melanoma and Basal Cell Carcinoma Using a Geodesic Active Contour (GAC) Technique
A method for automatic segmentation of dermoscopy skin lesion images includes automating a Geodesic Active Contour (GAC) initialization to be sufficiently large to encompass the lesion yet lie near the actual lesion contour. In addition, a new image plane is found by transforming the original RGB image to a smoothed image that allows the GAC to move without sticking on the minimum local energy. This method can eliminate the need for separate hair or noise removal algorithms. The method may include extraction of designated color planes to improve the initial contour and to automatically correct false segmentations. The method includes an algorithm to correct false protuberances and/or false inlets that may be present in the GAC border. A method is given to increase likelihood of including more actual lesion area. The method yields multiple border choices which may be presented to a classifier for optimal border selection.
GINGIVAL INDEXING DEVICE AND METHOD FOR INDEXING THE GINGIVA
Gingiva indexing devices and methods with various defined red colour regions have a colour grey card or grey card assigned to it for detecting the gingiva status, in particular for producing a gingival restoration. The devices and method comprise an analysis of at least one region of the gingiva status with regard to its shades of red, the position of the shades of red, the colour profile of the shades of red, their geometry and/or their morphology. The analysis can take place manually and/or digitally, and gingiva information is obtained, in particular in the form of a gingiva map, and optional production of a virtual or real model of a gingival restoration as a reproduction of the missing part of the gums and/or part of gingiva.
Measuring and monitoring skin feature colors, form and size
Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.
Image display system and image display method
An object of the invention is to provide an image display system and the like useful for a remote diagnosis and treatment using color information such as a skin color and a tongue color of a patient. There is provided an image display system including: a color chart including a plurality of patches that include at least three patches selected from a group consisting of first to seventh patches having specific colors; an imaging device configured to simultaneously image the color chart and a person to be imaged and acquire image data; and a display device configured to receive the image data and display the image data as an image on a display unit.
Measuring and monitoring skin feature colors, form and size
A calibrator includes a plurality of selected colors and an attachment mechanism configured to attach the calibrator onto a skin area adjacent to a skin feature. The selected colors are configured to span a color region defined by expected colors of the skin feature under varying illumination and capturing conditions.
CALIBRATING A DIGITAL IMAGE OF SKIN TISSUE
A computer-implemented method is for calibrating a digital image of skin tissue. The digital image includes a calibration marker located on or near the skin tissue. The calibration marker has benchmark elements wherein at least one benchmark attribute value of at least one attribute type. The computer-implemented method detects the calibration marker within the digital image; and detects the benchmark elements within a cropped portion of the digital image that includes the calibration marker. The computer-implemented method further includes, for the respective benchmark elements, determining at least one depicted attribute value of the at least one attribute type based on pixels of the digital image located within the respective benchmark elements; and calibrating the digital image by correcting deviations between the depicted attribute values and the benchmark attribute values associated with the respective benchmark elements.
Method and system for the digital acquisition of intraoral structure and color correction based on distance between reference template value and scanned value
The invention relates to a method for the digital acquisition of an intraoral structure by scanning the structure using an intraoral color scanner which, according to the invention, is designed to correct color values of the scanning points using a color reference template of a reference color space.