Carestream Health, Inc.

Shanghai United Imaging Healthcare Co., Ltd.

Liangliang Pan

Victor C Wong

Jiayong Yan

Wei Wang

Qi Duan

Wenqing Liu

Weidong Zhang

Da Wu

Chao Fu

Lixing Shi

Jing Liu

Fei Wang

Cheng Li

Ce Wang

Yufei Mao

Jieyan Ma

Jiyong Wang

Bin Tan

Zhao Zhang

Shuai Wang

Yong Luo

Lilong Wang

Chuanfeng Lyu

Chuanfeng Lv

Wenhua Wang

Lianghai Jin

Jie Qu

Shili Cao

Fanfan Zhang

The present invention relates to a system and method for image processing. An image data processing system is disclosed comprising an image cutting engine for image cutting based on image data; a region of interest processing engine for selecting at least a rendering method for a region of interest; a processing engine for adjusting sampling rate; and rendering engine for rendering the image, with the rendering method selected by the region of interest processing engine. More particularly, the present invention relates to image processing techniques that perform image manipulation, volume rendering, displaying targeted regions of interest and other related functions.

System and method for image processing

System and method for image rendering

System and method for removing voxel image data from being rendered according to a cutting region

A method and system for image processing is provided. The technique includes acquiring data related to the processing, performing a pre-processing of the data, performing a segmentation of a subject, performing a post-processing of the result of the segmentation and managing storage of the data. The post-process includes a calibrating and a rendering of the data.

Methods and systems for identifying spine or bone regions in computed tomography image sequence

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.

Method for quantifying caries

A method for locating one or more interproximal tooth regions in a digital tooth image. The method can be executed at least in part on data processing hardware. 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.

Method for locating an interproximal tooth region

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 c; generating a second threshold image from a second tooth image by selecting intensity data values higher than a second predetermined threshold value c; 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 c, wherein threshold value cexceeds c; 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.

Method for identifying a tooth region

A method for extracting a carious lesion area from sound regions of a tooth. In one embodiment, the method includes generating a digital image of the tooth; identifying tooth regions; extracting a suspicious lesion area by using a marker-controlled watershed algorithm or by using a morphological bottom-hat based method along with a multi-resolution surface reconstruction method; and removing false positives. In another embodiment, the method includes generating a digital image of the tooth comprising 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.

Method for extracting a carious lesion area

A method for forming an enhanced image () of a tooth () making use of the tooth () fluorescence and/or reflectance effects, employs a morphological image processing technique, and reduces susceptibility to overall intensity variations in the image ().

Method and apparatus for detection of caries

A method for identification of caries, executed at least in part on data processing hardware, obtains an original digital tooth image that has a plurality of color channels and generates an adjusted image by adjusting intensity values of the original digital tooth image to a range between a minimum value and a maximum value, wherein the adjusted image has at least a green channel image Iwgreen, a red channel image Iwred, and a blue channel image Iwblue. One or more tooth regions are segmented from gum and background regions within the adjusted image according to a relationship between two or more of the images Iwgreen, Iwred, and Iwblue to each other. One or more caries lesions is identified according to pixel intensity values from within the one or more segmented tooth regions, and the one or more tooth regions and the displayed and identified caries regions are highlighted.

Method for identification of dental caries in polychromatic images

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Shanghai, China

Liangliang Pan