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Wideband Optical Detector of Ultrasound for Medical Imaging Applications

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Published on: May 11, 2014

Sparse Blind Deconvolution with Nonconvex Optimization for Ultrasonic NDT Application.

Xuyang Gao¹, Yibing Shi¹, Kai Du¹

¹School of Automation Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, China.

Sensors (Basel, Switzerland)

|December 9, 2020

Summary

This study introduces a novel sparse blind deconvolution method for ultrasonic nondestructive testing (NDT). The advanced technique effectively separates overlapping echoes, improving defect detection accuracy in noisy environments.

Area of Science:

Materials Science
Non-Destructive Testing (NDT)
Signal Processing

Keywords:

blind gain calibration nonconvex optimization sparse blind deconvolution ultrasonic detection

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Background:

Ultrasonic nondestructive testing (NDT) faces challenges in defect detection due to signal attenuation and noise.
Accurate determination of ultrasonic signal reflection characteristics is crucial for defect localization and amplitude assessment.
Sparse blind deconvolution methods are employed to separate overlapping echoes when the transducer's impulse response is unknown.