Image Reconstruction in Ultrasonic Speed-of-Sound Computed Tomography Using Time of Flight Estimated by a 2D Convolutional Neural Networks

Image Reconstruction in Ultrasonic Speed-of-Sound Computed Tomography Using Time of Flight Estimated by a 2D Convolutional Neural Networks

In ultrasonic nondestructive testing (NDT), accurately estimating the time of flight (TOF) of ultrasonic waves is crucial. Traditionally, TOF estimation involves the signal processing of a single measured waveform. In recent years, deep learning has also been applied to estimate the TOF; however, th...

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Bibliographic Details
Main Authors: Yuki Mimura, Yudai Suzuki, Toshiyuki Sugimoto, Tadashi Saitoh, Tatsuhisa Takahashi, Hirotaka Yanagida
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Technologies
Subjects:
time of flight
longitudinal wave
solid
convolutional neural networks
ultrasonic
computed tomography
Online Access:https://www.mdpi.com/2227-7080/12/8/129

Internet

https://www.mdpi.com/2227-7080/12/8/129

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