Shanghai United Imaging Healthcare Co., Ltd.

Haihua Zhou

Le Yang

Na Zhang

Juan Feng

Wanli Teng

Hao Chen

Yange Ma

Kai Cui

Jie Niu

Jing Yan

Chunhua Jiang

Yecheng Han

Ji Qi

Hanyu Wang

Shurui Zhao

Yueyan Bian

Guanji Leng

Yang Hu

Liang Jie Xu

Lu Chen

Liang Xu

Yang Tang

Yong E

Yan'ge Ma

Zhou Yuan

Xuefei Lu

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

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

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

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

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

A system and method for image processing are provided. A pre-processed image may be obtained. The pre-processed image may be decomposed into a low-frequency image and a high-frequency image. At least one grayscale transformation range may be determined based on the low-frequency image. At least one grayscale transformation parameter may be determined based on the at least one grayscale transformation range. The low-frequency image may be transformed based on the at least one grayscale transformation parameter to obtain a transformed low-frequency image. A transformed image may be generated by reconstructing the transformed low-frequency image and the high-frequency image.

System and method 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

Haihua Zhou