General Electric Company

Xiao Xuan

Vivek Walimbe

Ming Yan

Kun Tao

Romain Areste

Han Kang

Zhaoxia Zhang

The present disclosure discloses a method for reducing ringing artifacts in an X-ray image, comprising: acquiring an X-ray image by scanning an object, wherein the X-ray image comprises grid line artifacts; applying a first bandwidth filter and a second bandwidth filter respectively to the X-ray image so as to obtain a filtered first image and a filtered second image, wherein the first bandwidth filter and the second bandwidth have different bandwidths; constructing a weighting map according to the X-ray image; and fusing the filtered first image and the filtered second image with the weighting map so as to obtain an output image. The present disclosure also discloses a system using the above method.

Method and system for reducing ringing artifacts in X-ray image

A method and apparatus for image automatic brightness detection. The method includes determining region of interest (ROI) candidates in an image, extracting features from each of the ROI candidates, selecting the optimum ROI based on weighted score of each of the ROI candidate, and calculating brightness value of the selected optimum ROI candidate as brightness feedback. The method and apparatus for image automatic brightness detection according to embodiments of the present invention, can automatically detect the point of interest for clinicians, and then provide a more accurate feedback to the imaging system, in order to provide a more efficient dose management in the imaging system and thus to achieve constant image quality without wasting any dose, thereby further optimizing the dose/IQ performance and the high efficient utilization of the system.

Method and apparatus for image content-based automatic brightness detection

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Beijing, China

Xiao Xuan