Abstract:
PROBLEM TO BE SOLVED: To provide a method for locating one or more interproximal tooth regions in a digital tooth image. SOLUTION: The method includes generating the digital tooth image from a fluorescence image of one or more teeth and a reflectance image of the one or more teeth, so as to combine image data from the fluorescence and reflectance images. The digital tooth image has intensity values for pixels corresponding to the one or more teeth and background. The method identifies one or more tooth regions by processing the digital tooth image and locates the one or more interproximal tooth regions according to the one or more identified tooth regions. COPYRIGHT: (C)2011,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a method for extracting a carious lesion area from a sound region of a tooth. SOLUTION: The method includes steps of: generating a digital image of the tooth; identifying tooth regions; extracting a suspicious lesion area by using marker-controlled watershed algorithm or by using a morphological bottom-hat based method together with a multi-resolution surface reconstruction method; and removing false positives. Otherwise, the method includes steps of: generating a digital image of the tooth obtaining a fluorescence image of the tooth, obtaining a reflectance image of the tooth, and combining image data for the fluorescence and reflectance images; identifying tooth regions; extracting suspicious lesion areas; and removing false positives. COPYRIGHT: (C)2011,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a method for identifying tooth regions in a digital image of a tooth, useful for extracting a caries lesion area in a digital image of the tooth and quantifying the caries to thereby detect caries at an early stage. SOLUTION: This method for identifying tooth regions includes: a step of generating a first threshold image from a first tooth image by selecting intensity data values higher than a first threshold value c1; a step of generating a second threshold image from a second tooth image by selecting intensity data values higher than a second predetermined threshold value c2; a step of generating a preliminary tooth regions image that defines at least a first tooth region from the common portion of the first and second threshold images; a step of generating a reference binary image from the first image by selecting intensity data values higher than a third predetermined threshold value c3 exceeding the first threshold value c1; and a step of 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. COPYRIGHT: (C)2011,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a method for quantifying caries, executed at least in part on data processing hardware.SOLUTION: The method comprises: 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 surrounded by sound tooth regions by executing substeps of 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:
Un procedimiento para identificar una o más regiones dentales, que comprende: generar una primera imagen de umbral a partir de una primera imagen del diente por medio de unaoperación de umbral de selección de valores de datos de intensidad mayores que un primer valor umbralpredeterminado c1; generar una segunda imagen de umbral a partir de una segunda imagen del diente por medio de laoperación de umbral de selección de valores de datos de intensidad mayores que un segundo valor umbralpredeterminado c2; generar una imagen preliminar de regiones dentales que define al menos una primera región dental a partirde la intersección de las imágenes primera y segunda de umbral; generar una imagen binaria de referencia a partir de la primera imagen por medio de la operación de umbralde selección de valores de datos de intensidad mayores que un tercer valor umbral predeterminado c3, enel que el valor umbral c3 supera el valor umbral c1; generar una imagen refinada de regiones dentales a partir de al menos la primera región dental en laimagen preliminar de regiones dentales, en la que al menos la primera región dental está conectada aobjetos en la imagen binaria de referencia, y generar una imagen procesada refinada de regiones dentales al eliminar áreas pequeñas y rellenaragujeros en la imagen definida de regiones dentales.
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:
A system and method for imaging a tooth. The method illuminates the tooth and acquires fluorescence image data from the tooth. A risk condition for the tooth is calculated according to the fluorescence image data. Two or more display colors are mapped to areas of the tooth according to the calculated risk condition to form a pseudo-color mapped tooth that is displayed.
Abstract:
A method for intraoral imaging obtains a digital image of one or more teeth and detects first and second boundaries. At each of the first and second boundaries, there is calculated a boundary ratio of mean gray-scale values for the tooth area on one side of the boundary to mean gray-scale values for background areas on the other side. The calculated boundary ratios are stored. A third ratio of the mean gray-scale values for the tooth area near the first boundary to the mean gray-scale values for the tooth area near the second boundary is calculated and stored. A vector is formed and stored that contains at least the calculated boundary ratios and the third ratio. The tooth surface is classified as either smooth or occlusal according to the stored vector. The image data is processed according to the classification and processing results are reported.
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.