Abstract:
A method for quantifying caries, executed at least in part on data processing hardware, the method comprising generating a digital image of a tooth, the image comprising intensity values for a region of pixels corresponding to the tooth, gum, and background; extracting a lesion area from sound tooth regions by identifying tooth regions, extracting suspicious lesion areas, and removing false positives; identifying an adjacent sound region that is adjacent to the extracted lesion area; reconstructing intensity values for tooth tissue within the lesion area according to values in the adjacent sound region; and quantifying the condition of the caries using the reconstructed intensity values and intensity values from the lesion area.
Abstract:
Method and apparatus embodiments can generate a volume fluorescence image of a tooth. Method and apparatus embodiments can project structured light patterns onto a tooth and generate a contour (volume) image of the tooth surface from acquired corresponding structured light projection images; then acquire one or more fluorescence images of the tooth generated under blue-UV illumination. A composite image that shows fluorescence image content mapped to the generated contour image can be transmitted, stored, modified and/or displayed.
Abstract:
Method and/or apparatus embodiments for automatically identifying caries, executed at least in part on data processing hardware, can acquire, multiple reflectance images of a tooth, wherein each reflectance image includes at least red, green, and blue intensity values for a region of pixels corresponding to the tooth. Each reflectance image in the plurality of reflectance images is processed by (i) defining a tooth region within the reflectance image; and (ii) identifying caries within the defined tooth region for each reflectance image. The reflectance images are registered and the registered processed images are combined to form a result image that shows the identified caries. In one embodiment, multiple reflectance images of a tooth are taken from substantially the same camera position.
Abstract:
A method and system for intra-oral imaging using High Dynamic Range (HDR) and highlight removal is presented. The method comprising generating a first High HDR irradiation map of teeth with multiple images captured with different exposures for same intra-oral scene; and removing highlight caused by a specular reflection in a detail-reserved way from the first HDR irradiation map so as to obtain a second HDR irradiation map in which the specular reflection is at least partly suppressed.
Abstract:
A system and method for imaging a tooth. The method illuminates the tooth and acquires reflectance image data and illuminates the tooth and acquires fluorescence image data from the tooth. The acquired reflectance and fluorescence image data for the tooth are aligned to form aligned reflectance and fluorescence image data. For one or more pixels of the aligned reflectance and fluorescence image data, at least one feature vector is generated, having data derived from one or both of the aligned reflectance and fluorescence image data. The aligned reflectance and fluorescence image data and the at least one feature vector are processed using one or more trained classifiers obtained from a memory that is in signal communication with the computer. Processing results indicative of tooth condition are displayed.