Sun Tae Hwang. (2022). Deep Neural Network for Golay-coded excitation Ultrasound Imaging without frame rate reduction. doi: 10.22677/thesis.200000628638
Deep neural network, Coded excitation, Golay code, Inverse problem, Ultrasound, Signal reconstruction
Abstract
Table Of Contents
i. INTRODUCTION 1 1.1 Ultrasound characteristics 1 1.2 Limitations of short pulse ultrasound imaging 1 1.3 Coded excitation methods 2 1.4 Deep neural network for Golay coded excitation base ultrasound imaging 2 1.5 Organization of the paper 3 ii. Ultrasound imaging device 3 2.1 Configuration diagram of ultrasound imaging device 3 2.2 B-mode imaging method 5 2.3 Coded excitation 5 iii. Neural network with encoder-decoder structure 11 3.1 Autoencoder 11 3.2 U-Net 12 3.3 Inverse problem with deep neural network 13 iV. A method of generating a Golay coded excitation signal using deep learning 13 4.1 Network architecture 14 4.2 Data acquisition 15 4.3 Training 16 V. Performance evaluation and results 16 5.1 Comparison of conventional ultrasound image and Golay coded excitation image 17 5.2 U-Net-based deep neural network results 18 Vi. Conclusion and future work 22
