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Journal Articles

Full Waveform Inversion-Based Ultrasound Computed Tomography Acceleration Using Two-Dimensional Convolutional Neural Networks

Christopher Kleman, Shoaib Anwar, Zhengchun Liu, Jiaqi Gong, Xishi Zhu, Austin Yunker, Rajkumar Kettimuthu, Jiaze He
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2023, 6(4): 041004.
Paper No: NDE-22-1034
https://doi.org/10.1115/1.4062092
Published Online: March 31, 2023
...) to accelerate and enhance the inversion results to reveal underlying structures or abnormalities that may be located within the region of interest. For training, the ultrasonic signals were first processed using the full waveform inversion (FWI) technique for only a single iteration; the resulting image...
View Article titled, <span class="search-highlight">Full</span> <span class="search-highlight">Waveform</span> <span class="search-highlight">Inversion</span>-Based Ultrasound Computed Tomography Acceleration Using Two-Dimensional Convolutional Neural Networks
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Topics: Artificial neural networks, Computerized tomography, Inverse problems, Machine learning, Ultrasound, Waves, Signals