Abstract:
A method for identifying tooth regions. The method includes generating a first threshold image from a first tooth image by selecting intensity data values higher than a first predetermined threshold value c1; generating a second threshold image from a second tooth image by selecting intensity data values higher than a second predetermined threshold value c2; generating a preliminary tooth regions image that defines at least a first tooth region from the intersection of the first and second threshold images; generating a reference binary image from the first image by selecting intensity data values higher than a third predetermined threshold value c3, wherein threshold value c3 exceeds c1; and generating a refined tooth regions image from at least the first tooth region in the preliminary tooth regions image. The first tooth region is connected to objects in the reference binary image.
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:
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 obtaining an intra-oral image, the method executed at least in part by a computer system, emits illumination from an intra-oral camera toward an object that is within the mouth of a patient, then obtains image data content of the object at an image sensor of the intra-oral camera. The image content obtained from the imaging sensor is displayed and one or more movement signals indicative of movement of the intra-oral camera along at least two of three mutually orthogonal axes is obtained. The one or more obtained movement signals are interpreted as an operator instruction corresponding to a predetermined movement pattern. At least the display of the image content is changed according to the operator instruction.
Abstract:
An apparatus for imaging the head of a patient has a transport apparatus that orbits an x-ray source and detector about the head and acquires 2-D radiographic projection images. One or more head marker retaining elements hold markers in position relative to the skull. One or more jaw marker retaining elements hold markers in position relative to the jaw bone. At least one camera acquires a jaw motion study. A control logic processor in signal communication with the x-ray source, x-ray detector, and the camera is configured to reconstruct volume image content using the 2-D radiographic projection images acquired, to segment the jaw bone structure from the skull bone structure, to register the reconstructed volume image content, and to generate display content that shows jaw bone structure motion acquired from the set of reflectance images. A display in signal communication with the control logic processor displays the generated content.
Abstract:
A method for identifying tooth regions. The method includes generating a first threshold image from a first tooth image by selecting intensity data values higher than a first predetermined threshold value c1; generating a second threshold image from a second tooth image by selecting intensity data values higher than a second predetermined threshold value c2; generating a preliminary tooth regions image that defines at least a first tooth region from the intersection of the first and second threshold images; generating a reference binary image from the first image by selecting intensity data values higher than a third predetermined threshold value c3, wherein threshold value c3 exceeds c1; and generating a refined tooth regions image from at least the first tooth region in the preliminary tooth regions image. The first tooth region is connected to objects in the reference binary 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:
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:
A method for forming a 3-D facial model obtains a reconstructed radiographic image volume of a patient and extracts a soft tissue surface of the patient's face from the image volume and forms a dense point cloud of the extracted surface. Reflection images of the face are acquired using a camera, wherein each reflection image has a different corresponding camera angle with respect to the patient. Calibration data is calculated for one or more of the reflection images. A sparse point cloud corresponding to the reflection images is formed by processing the reflection images using multi-view geometry. The sparse point cloud is registered to the dense point cloud and a transformation calculated between reflection image texture data and the dense point cloud. The calculated transformation is applied for mapping texture data from the reflection images to the dense point cloud to form a texture-mapped volume image that is displayed.
Abstract:
An apparatus for imaging the head of a patient has a transport apparatus that moves an x-ray source and detector in at least partial orbit about a head supporting position for acquiring 2-D radiographic projection images of the head. A light source coupled to the transport apparatus projects patterned light over at least a portion of the orbit. A monochrome camera coupled to the transport apparatus records, at angles of the orbit, monochrome reflectance images of the projected patterned light. A color camera coupled to the transport apparatus acquires, at each of one or more angles of the orbit, a color reflectance image of the head. A control logic processor energizes at least the x-ray source, the detector, the transport apparatus, the light source, and the cameras to acquire and process both radiographic and reflectance image data obtained during the at least partial orbit about the head supporting position.