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公开(公告)号:US11478225B2
公开(公告)日:2022-10-25
申请号:US16721015
申请日:2019-12-19
Inventor: JongChul Ye , Shujaat Khan , Jaeyoung Huh
Abstract: An apparatus and method for processing an ultrasound image in various sensor conditions are provided. The method includes receiving a data cube via sensors, transforming the received data cube into focus data through beam focusing, and outputting inphase data and quadrature phase data for the focus data using a neural network corresponding to signal adder and Hilbert transform functions. The method further includes detecting an envelope of the inphase data and the quadrature phase data and reconstructing an ultrasound image for the data cube using log compression.
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2.
公开(公告)号:US11145028B2
公开(公告)日:2021-10-12
申请号:US16414372
申请日:2019-05-16
Inventor: JongChul Ye , Yeohun Yoon , Shujaat Khan , Jaeyoung Huh
Abstract: An image processing apparatus according to an embodiment removes the noise included in the three-dimensional input image, determines the lost information in a process of obtaining the three-dimensional input image, or enhances the resolution of the three-dimensional input image, by using the neural network learned in advance. The image processing apparatus slices the three-dimensional input image along a depth, converts a three-dimensional input image into a two-dimensional input image, and inputs the converted two-dimensional input image into a neural network. The image processing apparatus generates a three-dimensional output image of which the quality of the three-dimensional input image is enhanced, based on the output of the neural network.
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3.
公开(公告)号:US20190355093A1
公开(公告)日:2019-11-21
申请号:US16414372
申请日:2019-05-16
Inventor: JongChul Ye , Yeohun Yoon , Shujaat Khan , Jaeyoung Huh
Abstract: An image processing apparatus according to an embodiment removes the noise included in the three-dimensional input image, determines the lost information in a process of obtaining the three-dimensional input image, or enhances the resolution of the three-dimensional input image, by using the neural network learned in advance. The image processing apparatus slices the three-dimensional input image along a depth, converts a three-dimensional input image into a two-dimensional input image, and inputs the converted two-dimensional input image into a neural network. The image processing apparatus generates a three-dimensional output image of which the quality of the three-dimensional input image is enhanced, based on the output of the neural network.
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