Shanghai United Imaging Healthcare Co., Ltd.

Jiangsu Hengyi Pharmaceutical Co., Ltd.

Shanghai Institute of Pharmaceutical Industry

Juan Feng

Le Yang

Na Zhang

Haihua Zhou

Wanli Teng

Jie Niu

Kai Cui

Yange Ma

Hao Chen

Yecheng Han

Ji Qi

Hanyu Wang

Yang Hu

Chunhua Jiang

Jing Yan

Shurui Zhao

Yan'ge Ma

Liang Xu

Yong E

Guanji Leng

Yu Zhang

Jun Xiang

Wei Zhang

Liang Jie Xu

Hui Yin

Jianqi Li

Lu Chen

Yang Tang

Wangping Cai

Zhenwei Wang

Biao Sun

Jian Zhong

Weiyi Wang

Peng Yao

Zhou Yuan

Xuefei Lu

Wenri Zhang

Liang Yue

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 an imaging system. The imaging system may include at least one array radiation source and a detector. Each of the at least one array radiation source may include a plurality of point radiation sources. The at least one array radiation source may be configured to emit at least one radiation beam. The detector may be configured to detect at least part of the at least one radiation beam.

The embodiments of the present disclosure provides a method for determining parameters related to a medical operation. The method includes obtaining optical image information of a target object, determining target part information of the target object, and determining the parameters related to the medical operation at least based on the optical image information and the target part information.

Methods and systems for determining parameters related to medical operations

A scanning apparatus (), a medical image obtaining method, and a medical image obtaining system () are provided. The scanning apparatus () comprises a gantry, a controller, a C-shaped arm, a radiation source (), and a detector (). The radiation source () and the detector () are arranged at both ends of the C-shaped arm. The C-shaped arm is connected to the gantry. The controller is configured to control a motion of the gantry to drive the C-shaped arm to move so as to scan a target object.

Scanning apparatus, method, and system

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.

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.

A method for image processing is provided. The method may include: obtaining a plurality of frames, each of the plurality of frames comprising a plurality of pixels; determining, based on the plurality of frames, whether a current frame of the plurality of frames comprises a moving object; in response to determining that the current frame includes no moving object, obtaining a first count of frames, and generating a target image by superimposing the first count of frames; in response to determining that the current frame includes a moving object, obtaining a second count of frames, and generating the target image by superimposing the second count of frames.

Methods and systems for image processing

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.

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Shanghai, China

Juan Feng