Abstract: A method for imaging a tooth surface, the method executed at least in part on a computer, directs an excitation signal toward the tooth from a scan head and obtains a depth-resolved response signal emanating from the tooth, wherein the response signal encodes tooth surface structure information. Liquid and tooth surfaces are segmented from the depth-resolved response signal. The tooth surface structure information is adjusted based on the segmented liquid. A 3D image of the tooth is reconstructed according to the depth-resolved response signal and the adjusted tooth surface structure information. The 3D image content is displayed, stored, or transmitted.

Abstract: A method for acquiring image data obtains, for an intraoral feature, optical coherence tomography (OCT) data in three dimensions wherein at least one dimension is pseudo-randomly or randomly sampled and reconstructs an image volume of the intraoral feature using compressive sensing, wherein data density of the reconstructed image volume is larger than that of the obtained OCT data in the at least one dimension or according to a corresponding transform. The method renders the reconstructed image volume for display.

Abstract: An optical apparatus has an OCT imaging apparatus with a first light source for low coherence light of wavelengths above a threshold wavelength and a signal detector that obtains an interference signal between low coherence light from the sample and low coherence light reflected from a reference. A surface contour imaging apparatus has a second light source that emits one or more wavelengths of surface illumination below the threshold wavelength, a camera to acquire images from illumination reflected from the sample and a probe that has a raster scanner wherein the low coherence light and the surface illumination share the same path from the raster scanner to the sample. A processor coordinates activation of the light sources, actuation of the scanner, and acquisition of data and the camera and follows instructions to display, store, or transfer images from the acquired data.

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 method for mapping a sensor pixel array to an illumination pixel array according to a surface forms a group mapping by assigning each pixel in a on the sensor array to a group that has a group width defined by p adjacent pixels on the illumination pixel array by projecting and recording a first and a second multiple group index image with a first and second pattern of lines. Lines appearing in both first and second pattern are spaced by a first distance that is a first multiple of group width p, and lines that appear only in either pattern are evenly spaced by a second distance that exceeds the first distance. A subset of p multiline images are projected, each projecting a line within each group. Lines in one of the multiline images are correlated with lines from the group index images to generate the group mapping.

Abstract: An apparatus for intraoral imaging has an intraoral camera that defines a field of view with a first dimension and a second dimension orthogonal to the first dimension. A projector has a laser diode energizable to emit a light beam; a collimator in the path of the emitted light beam; first beam-shaping optics disposed to shape the collimated light beam in the second dimension to form a linear light pattern; focusing optics disposed to focus the shaped collimated beam at a focal plane; and a scanner that is disposed substantially at the focal plane and that is energizable to scan the formed linear light pattern along the second dimension to successive positions of the field of view. A control logic processor coordinates energizing the laser diode and scanner with image capture by the intraoral camera.

Abstract: An apparatus for obtaining an image of a tooth having at least one light source providing incident light having a first spectral range for obtaining a reflectance image from the tooth and a second spectral range for exciting a fluorescence image from the tooth. A polarizing beamsplitter in the path of the incident light from both sources directs light having a first polarization state toward the tooth and directs light from the tooth having a second polarization state along a return path toward a sensor, wherein the second polarization state is orthogonal to the first polarization state. A first lens in the return path directs image-bearing light from the tooth toward the sensor, and obtains image data from the portion of the light having the second polarization state. A long-pass filter in the return path attenuates light in the second spectral range.

Abstract: A method for color texture imaging of teeth with a monochrome sensor array obtains a 3-D mesh representing a surface contour image according to image data from views of the teeth. For each view, recording image data generates sets of at least three monochromatic shading images. Each set of the monochromatic shading images is combined to generate 2-D color shading images, corresponding to one of the views. Each polygonal surface in the mesh is assigned to one of a subset of the views. Polygonal surfaces assigned to the same view are grouped into a texture fragment. Image coordinates for the 3-D mesh surfaces in each texture fragment are determined from projection of vertices onto the view associated with the texture fragment. The 3-D mesh is rendered with texture values in the 2-D color shading images corresponding to each texture fragment to generate a color texture surface contour image.

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.

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: A method for mapping a sensor pixel array to an illumination pixel array according to a surface forms a group mapping by assigning each pixel in a on the sensor array to a group that has a group width defined by p adjacent pixels on the illumination pixel array by projecting and recording a first and a second multiple group index image with a first and second pattern of lines. Lines appearing in both first and second pattern are spaced by a first distance that is a first multiple of group width p, and lines that appear only in either pattern are evenly spaced by a second distance that exceeds the first distance. A subset of p multiline images are projected, each projecting a line within each group. Lines in one of the multiline images are correlated with lines from the group index images to generate the group mapping.

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: In an exemplary method for obtaining a contour image of a tooth, which can be executed at least in part by a computer, movement of an intra-oral camera can be detected by acquiring a first video image frame that includes the tooth and processing the first video image frame to detect one or more edges of the tooth in the first video image frame and acquiring a second video image frame that includes the tooth and processing the second video image frame to detect the one or more edges of the tooth in the second video image frame. The method can compare corresponding edge locations between the first and second processed video image frames and projects a fringe pattern illumination onto the tooth from the camera, capturing and storing one or more still images of the fringe pattern according to the detected camera movement.

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 for identification of caries, executed at least in part on data processing hardware, captures a plurality of blocks of digital tooth images, each block of tooth images comprising a fluorescence image and one or more reflectance images. At least one registered fluorescence image is generated from the fluorescence image and the one or more reflectance images. A combined image is generated using each of the one or more reflectance images and the at least one registered fluorescence image.

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: Intra-oral imaging apparatus and/or method embodiments can provide digital dental reflectance images used to identify selected areas of interest (AOI) within a dental region of interest (ROD having selected image characteristics for both hemo-globin's total concentration and oxygenation level. In one embodiment, reflectance images can determine relative total hemoglobin using at least a wavelength band that includes an isobestic wavelength for absorption coefficients of oxyhemoglobin (HbO2) and deoxyhemoglobin (Hb).

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 wireless X-ray detector for a digital radiography system with remote detection of impinging radiation from the system X-ray source onto a sensor panel having amorphous or crystalline silicon photodiodes or metal insulated semiconductor (MIS) sensors. Certain exemplary embodiments described herein can provide a digital radiography detector including a housing having first and second spaced members and side walls defining a cavity; a radiographic image detector assembly mounted within the cavity for converting a radiographic image to an electronic radiographic image, wherein the detector assembly includes a scintillator screen and a detector imaging array; and a light guiding element positioned proximate the radiographic image detector assembly to detect a start of exposure, a termination of the exposure, dose for the exposure or rate of dose for the exposure using light generated by the scintillator screen.

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.