Shanghai United Imaging Healthcare Co., Ltd.

Shanghai Lanbao Sensing Technology Co., Ltd.

Chunhua Jiang

Wanli Teng

Shurui Zhao

Haihua Zhou

Na Zhang

Juan Feng

Le Yang

Jing Yan

Hao Chen

Hanyu Wang

Yueyan Bian

Yecheng Han

Yong E

Yan'ge Ma

Jian Zhong

Yang Hu

Jie Niu

Kai Cui

Liang Xu

Guanji Leng

Yang Chen

Junchao Sun

Lulu Han

Yong Xle

Dianlin Hu

Systems and methods for image processing are provided. The method may include obtain an image sequence. The method may also include determine one or more sets of images from the image sequence, wherein each of the one or more sets of images includes one image or a plurality of consecutive images from the image sequence. The method may further include perform an image processing operation on at least one set of the one or more sets of images. The one or more image processing operation may include one or more of image segmentation, visualization, and image enhancement.

Systems and methods for image processing

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

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 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

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.

The present disclosure relates to systems and methods for image processing. The method may include receiving an original image including a plurality of pixels; determining a plurality of smoothed images by applying a plurality of filtering kernels to the plurality of pixels of the original image, wherein each of the plurality of filtering kernels may be associated with a respective kernel size; determining a plurality of enhanced images by comparing the original image with the plurality of smoothed images; and generating a target image based on at least one of the plurality of enhanced images and at least one of: the original image or at least one of the plurality of smoothed images.

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 for shielding an inductive sensor includes arranging an annular shielding coil outside an annular detection coil, the shielding coil surrounds the detection coil, and the radial thickness of the shielding coil is smaller than that of the detection coil. An inductive sensor adopting the above method for shielding the inductive sensor, in which the shielding coil is arranged outside the detection coil of the inductive sensor, magnetic fields generated by the two coils are opposite in direction and partially cancel out each other. When interference exists, the magnetic fields generated by the two coils are influenced at the same time and are attenuated or increased by identical strength. Therefore, the summed magnetic field strength can be kept constant, resonance voltages cannot be attenuated, the interference rejection of the inductive sensor is improved, and the sensitivity of the inductive sensor is not influenced.

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Shanghai, China

Chunhua Jiang