Shanghai United Imaging Healthcare Co., Ltd.

Shanghai Jiaotong University

Kai Cui

Le Yang

Juan Feng

Jie Niu

Na Zhang

Wanli Teng

Yecheng Han

Haihua Zhou

Hao Chen

Yang Hu

Yange Ma

Ji Qi

Hanyu Wang

Liang Xu

Yueyan Bian

Yan'ge Ma

Liang Jie Xu

Jing Yan

Guanji Leng

Chunhua Jiang

Shurui Zhao

Lu Chen

Yang Tang

Yong E

Jun Xiang

Jian Zhong

Peng Yao

Zhou Yuan

Gaoxian Chen

Zeyu Xiao

Xuefei Lu

Wenri Zhang

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 invention provides a colonic microbiota responsive polymer characterized in that it is prepared by the polymerization of a response monomer and a linking monomer, wherein the response monomer is a cellobiose with a β-(1,4)-glucoside bond or/and a lactose with a β-galactoside bond; the linking monomer is a monomer that reacts with the hydroxyl group of the response monomer to form an ester or ether directly or by a crosslinking agent. The invention also provides a method for preparation of a colonic microbiota responsive polymer, a degradable film based on the polymer and a preparation method thereof. By means of the characteristics that β-(1,4)-glucoside bond provided by cellobiose or/and β-galactoside bond provided by lactose monomer unit in the polymer can specifically respond to the high abundance of microbiotas (β-glucosidase or/and β-galactosidase) in the colon to specifically degrade in the colon, a colon-targeted delivery system for diagnosis and treatment of colon diseases is constructed.

Colonic microbiota responsive polymer and its preparation method and use

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

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.

Imaging systems and methods

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 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

Kai Cui