Shanghai United Imaging Healthcare Co., Ltd.

General Electric Company

Omnivision Technologies (shanghai) Co., Ltd.

Yanyan Liu

Hua Zhang

Bradly Aaron Kippel

Valery Ivanovich Ponyavin

Jianhua Wang

Naveen Ghattadhahalli Parmeshwar

Bin Su

Biao He

Pengfei Cai

Feifei Dou

A fisheye image transformation algorithm based on virtual spheres is provided, comprising: defining a real camera coordinate system O-XYZ and a virtual camera coordinate system O2-X2Y2Z2, wherein a small virtual sphere centered at O with a radius of 1 and a large virtual sphere centered at O2 with a radius of n are defined, the small sphere is internally tangent to the large sphere; transforming a fisheye image to 3D unit vectors in the real camera coordinate system, transforming the 3D unit vectors between the real camera coordinate system and the virtual camera coordinate system according to a relative position between two spheres, and conducting conventional projection of the 3D unit vectors in the virtual camera coordinate system to generate the transformed image; and reducing the line curvature of the transformed image to a certain degree by adjusting the HFOV angle or the VFOV angle of the virtual camera.

Fisheye image transformation algorithm based on virtual spheres

A system and method for determine a parameter for medical data processing are provided. The method may include obtaining sample data, the sample data may comprise at least one of projection data or a scanning parameter. The method may also include obtaining a first neural network model. The method may further include determining the parameter based on the sample data and the first neural network model. The parameter may comprise at least one of a correction coefficient or a noise reduction parameter.

Systems and methods for determining processing parameter for medical image processing

The present disclosure is related to systems and methods for image processing. The method may include obtaining an image including at least one of a first type of artifact or a second type of artifact. The method may include determining, based on a trained machine learning model, at least one of first information associated with the first type of artifact or second information associated with the second type of artifact in the image. The trained machine learning model may include a first trained model and a second trained model. The first trained model may be configured to determine the first information. The second trained model may be configured to determine the second information. The method may include generating a target image based on at least part of the first information and the second information.

Systems and methods for image processing

The present disclosure provides a system and method for image correction. The method may include obtaining image data of a target object; determining a target image based on the image data; determining a target aspect ratio of the target object in the target image; determining a correction function for correcting artifacts in the target image based on the target aspect ratio; and obtaining a corrected image of the target image by correcting the target image based on the correction function.

Systems and methods for image correction

Systems and methods for determining parameters for medical image processing

A method for analyzing performance of an imaging device including a scanner with a phantom includes receiving image data related to a scanning, by the scanner, of a first part of the phantom including at least part of a first test component. The method also includes obtaining at least one positioning parameter indicative of a positioning manner of the phantom during the scanning. The method further includes generating a first test image based on the received image data and determining a first region of interest (ROI) related to the first test component in the first test image based on the at least one positioning parameter.

Methods and systems for imaging performance analysis

A system includes a silencer baffle which mounts in a fluid conduit along a fluid flow path, where the silencer baffle includes a plurality of baffle sections. At least two baffle sections of the plurality of baffle sections couple together via mating interlock structures, and at least one baffle section of the plurality of baffle sections has first and second baffle portions which couple together via mating joints.

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Shanghai, China

Yanyan Liu