An Adaptive Medical Ultrasound Images Despeckling Method Based on Deep Learning

Xiaowei FU; Xuefei YANG; Fang CHEN; Xi LI

doi:10.11999/JEIT190580

Volume 42 Issue 7

Jul. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(7): 1782-1789

Xiaowei FU, Xuefei YANG, Fang CHEN, Xi LI. An Adaptive Medical Ultrasound Images Despeckling Method Based on Deep Learning[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1782-1789. doi: 10.11999/JEIT190580

Citation:

Xiaowei FU, Xuefei YANG, Fang CHEN, Xi LI. An Adaptive Medical Ultrasound Images Despeckling Method Based on Deep Learning[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1782-1789. doi: 10.11999/JEIT190580

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An Adaptive Medical Ultrasound Images Despeckling Method Based on Deep Learning

doi: 10.11999/JEIT190580

Xiaowei FU^{1, 2, 3
,
,},
Xuefei YANG^{1, 2},
Fang CHEN⁴,
Xi LI⁵

1.
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China
2.
Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430065, China
3.
State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, China
4.
Department of Ultrasound and Imaging, Wuhan University of Science and Technology Hospital, Wuhan 430065, China
5.
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China

Funds: The National Natural Science Foundation of China (61873323), The Open Fund Project of State Key Laboratory of Material Processing and Die & Mould Technology (P2018-016), The Natural Science Foundation of Hubei Provincial (2017CFB506), The Open Fund Project of Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System (2016znss02A, znxx2018ZD01), The University Student Science and Technology Innovation Fund Project (18ZRA076)

Received Date: 2019-07-31
Rev Recd Date: 2020-03-18

Available Online: 2020-04-11

Publish Date: 2020-07-23

Abstract

Abstract

Considering the shortage of traditional medical ultrasound image despeckle methods, an adaptive multi-exposure fusion framework and feedforward convolutional neural network model image despeckle method is proposed. Firstly, an ultrasound image training data set is produced. Then, a multi-exposure fusion framework with adaptive enhancement factors is proposed to enhance the image for effective feature extraction.Finally, a speckle model is trained through the network and a speckle image is obtained. Experimental results show that, compared with the existing methods, this paper can more effectively remove speckle noise in medical ultrasound images and retain more image details.
- Ultrasound image,
- Deep learning,
- Multi-exposure fusion framework,
- Multiplicative speckle noise

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References(28)

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