Gap-Filling Method for Suppressing Grating Lobes in Ultrasound Imaging: Experimental Study With Deep-Learning Approach

Gap-Filling Method for Suppressing Grating Lobes in Ultrasound Imaging: Experimental Study With Deep-Learning Approach

Sparse arrays reduce the number of active channels that effectively increases the inter-element spacing. Large inter-element spacing results in grating lobe artifacts degrading the ultrasound image quality and reducing the contrast-to-noise ratio. A deep learning-based custom algorithm is proposed t...

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Bibliographic Details
Main Authors: Viksit Kumar, Po-Yang Lee, Bae-Hyung Kim, Mostafa Fatemi, Azra Alizad
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep learning
gap-filling
sparse array
ultrasound imaging
Online Access:https://ieeexplore.ieee.org/document/9075177/

Internet

https://ieeexplore.ieee.org/document/9075177/

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