Shanghai United Imaging Healthcare Co., Ltd.

Jie Niu

Le Yang

Juan Feng

Na Zhang

Kai Cui

Wanli Teng

Yecheng Han

Haihua Zhou

Yange Ma

Hanyu Wang

Hao Chen

Ji Qi

Yang Hu

Liang Jie Xu

Liang Xu

Yueyan Bian

Yu Zhang

Jing Yan

Yan'ge Ma

Hui Yin

Chunhua Jiang

Shurui Zhao

Jun Xiang

Jian Zhong

Weiyi Wang

Peng Yao

Wenri Zhang

Liang Yue

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 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 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.

Systems and methods for image processing

The present disclosure relates to systems and methods for image splicing. The systems and methods may acquire a first image and a second image, determine a plurality of first feature points in a first region of the first image, determine a plurality of second feature points in a second region of the second image, then match the plurality of first feature points with the plurality of second feature points to generate a plurality of point pairs. Based on the plurality of point pairs, a third region on the first image and a fourth region on the second image may be determined. Finally, a third image may be generated based on the first image and the second image, wherein the third region of the first image may overlap with the fourth region of the second image in the third image.

System and method for splicing images

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

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Shanghai, China

Jie Niu