Shanghai United Imaging Healthcare Co., Ltd.

Sap Se

Na Zhang

Le Yang

Juan Feng

Haihua Zhou

Wanli Teng

Hao Chen

Jie Niu

Yange Ma

Kai Cui

Jing Yan

Yecheng Han

Chunhua Jiang

Ji Qi

Yang Hu

Hanyu Wang

Yan'ge Ma

Liang Xu

Shurui Zhao

Yueyan Bian

You Li

Guanji Leng

Kun Hu

Yijin Hu

Yu Zhang

Liang Jie Xu

Yong E

Jia Feng

Fangling Liu

Zhenwei Wang

Biao Sun

Yuna Hou

Jun Xiang

Hao Weng

Wenle Zhao

Jian Zhong

Weiyi Wang

Peng Yao

Paul Coffey

Xuefei Lu

Wenri Zhang

Jiayi Chen

Rufeng Peng

Weijun Yu

Fang Huang

Disclosed herein are system, method, and computer program product embodiments for hybrid-type authorization. An embodiment operates by parsing a policy expression into an abstract syntax tree (AST) and receiving, from a local server, user attribute data of a user. The embodiment further operates by traversing the AST to evaluate the user attribute data and determining whether a result of the traversing is indeterminate. In addition the embodiment operates by sending, to a remote server, a request for additional user attribute data in response to determining that the result is indeterminate, and receiving, from the remote server, the additional user attribute data. Then the embodiment operates by re-traversing the AST to evaluate the user attribute data and the additional user attribute data, authorizing the user based on at least one of the traversing or re-traversing, and outputting an authorization result.

Hybrid-type authorization policy evaluation

A region-of-interest extraction method and an apparatus, and a device, a system and a storage medium are provided. The region-of-interest extraction method is applied to an X-ray imaging system. The X-ray imaging system includes a detector and an array X-ray source, the array X-ray source includes a plurality of X-ray sources having different projection angles, and imaging regions corresponding to the plurality of X-ray sources are formed on the detector. The method includes: acquiring geometric position parameters corresponding to the plurality of X-ray sources; grouping the plurality of X-ray sources according to the geometric position parameters of the plurality of X-ray sources, determining at least one X-ray source group, and imaging regions of X-ray sources in the same X-ray source group not overlapping with each other; combining the imaging regions of the X-ray sources in each of the at least one X-ray source group, so as to determine a combined imaging region corresponding to each of the at least one X-ray source group; and performing region-of-interest extraction on projection data in the combined imaging region corresponding to each of the at least one X-ray source group.

Region-of-interest extraction method and apparatus, and device, system and storage medium

A method include obtaining original projection data of an object. The original projection data may be acquired by scanning the object using a radiation device from one or more projection views. The original projection data may include truncation projection data that is acquired from at least one of the one or more projection views. In each of the at least one of the one or more projection views a truncation region of the object may be located outside an FOV of the radiation device. The method may include obtaining a target S-shaped extrapolation function based on the original projection data. The method may include determining, based on the target S-shaped extrapolation function and the original projection data, extended projection data corresponding to the at least one truncation region. The method may include generating an image of the object based on the original projection data and the extended projection data.

Imaging systems and methods for extending truncated projection data

The present disclosure relates to a method for generating an image. The method may include obtaining a preliminary image of an object. The method may include determining a plurality of point radiation sources of at least one array radiation source at least partially based on an ROI of the object. The method may include determining at least one scanning parameter associated with the plurality of point radiation sources based on the preliminary image. The method may include causing the plurality of point radiation sources to emit radiation beams to the ROI to generate scan data relating to the ROI based on the at least one scanning parameter. The method may include obtaining scan data relating to the ROI. The method may further include generating a target image of the ROI based on the scan data relating to the ROI.

Imaging systems and methods

The present disclosure is related to systems and methods for processing X-ray images. A method for processing an X-ray image may include obtaining an X-ray image; and determining a metal image based on the X-ray image by using a trained metal detection model. The metal image includes information of a metal object in the X-ray image.

Systems and methods for processing x-ray images

The present disclosure relates to systems and methods for image processing. The system may obtain at least one image of an object. For each of the at least one image, the system may determine a recognition result of the image. The recognition result may include an image type of the image, a type of a lesion in the image, a region of the lesion in the image, and/or an image feature of the image. Further, the system may process the at least one image of the object based on at least one recognition result corresponding to the at least one image.

Systems and methods for image processing

A method may include obtaining an image of a subject and determining a plurality of image blocks in the image. The method may also include extracting grayscale features from each of the plurality of image blocks and determining, based on the grayscale features, a segmentation threshold. The method may further include segmenting, based on the segmentation threshold, the image.

Systems and methods for image processing based on grayscale features

The present disclosure provides a method for automated image acquisition and imaging processing. The method may include obtaining imaging information of an object. The method may include determining, based on the imaging information, at least target device positioning information of an imaging device. The method may include causing, based on the target device positioning information of the imaging device, the imaging device to be positioned to perform the image acquisition. The method may include providing, based on the inspection information, guidance information, the guidance information being configured to guide positioning of the object. The method may also include obtaining a target image from an imaging operation by the imaging device. Further, the method may include determining a target image processing algorithm of a medical image.

Methods, systems, and computer-readable storage media for receiving a key and a value of a data object, determining a first identifier and a second identifier based on the key, defining an entry object including the first identifier, the second identifier, and the value, and storing the entry object in a hashmap by: determining a first value of a first index based on the first identifier, determining a second value of a second index to provide a first value and second value pair that defines a first location within the hashmap storing the first identifier, determining a third value of a third index for the first value and second value pair, where the first value, the second value, and the third value define a second location within the hashmap storing the second identifier, and storing the value at a third location within the hashmap.

Low-memory and efficient hashmap

A method may include obtaining an original image. The method may also include determining a plurality of decomposition coefficients of the original image by decomposing the original image. The method may also include determining at least one enhancement coefficient by performing enhancement to at least one of the plurality of decomposition coefficients using a coefficient enhancement model. The method may also include generating an enhanced image corresponding to the original image based on the at least one enhancement coefficient.

Methods and systems for image processing are provided. A target image may be acquired, wherein the target image may include a plurality of elements, an element of which may correspond to a pixel or a voxel. The target image may be decomposed into at least one layer, wherein the at least one layer may include a low frequency sub-image and a high frequency sub-image. The at least one layer may be transformed. The transformed layer may be reconstructed into a composite image.

Methods and systems for image processing

The present disclosure relates to systems, methods, computing devices, and storage media for medical examination. The medical examination system comprises: a breathing guiding apparatus configured to guide a breathing of a subject; an imaging device configured to scan the subject; and a controller coupled to the breathing guiding apparatus and configured to cause the breathing guiding apparatus to generate a breath guiding state for guiding the breathing of the subject.

Systems, methods, computing devices, and storage media for medical examination

A method may include obtaining a breast image of an object that is acquired by an imaging device; determining a projection curve based on the breast image; determining a first valley point and a second valley point of the projection curve; determining a peak point of the projection curve based the first valley point and the second valley point of the projection curve; determining a first valley location, a second valley location, and a peak location in the breast image based on the peak point, the first valley point, and the second valley point of the projection curve; and determining a breast region in the breast image based on the first valley location, the second valley location, and the peak location.

A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

Image reconstruction system and method

Systems and methods for determining a breast region in a medical image are provided. The methods may include obtaining a first image relating to the breast region, determining a first region including a first plurality of pixels in the breast region, determining a second region including a second plurality of pixels relating to an edge of the breast region, and determining the breast region by combining the first region and the second region. The second plurality of pixels may include at least a portion of the first plurality of pixels.

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Shanghai, China

Na Zhang