Transmission/Reflection Dual-mode Ultrasonic Tomography using Weighted Least Square-Lagrange Joint Reconstruction

H Liu, C. Tan, Manuchehr Soleimani, F. Dong

Research output: Contribution to journalArticlepeer-review

Abstract

Industrial Ultrasonic Tomography (UT) possesses unique advantages in multiphase medium imaging and has received broad attention. In this work, a novel transmission/reflection dual-mode image reconstruction algorithm based on information fusion is proposed. The transmissive attenuation and reflective time-delay information are both integrated into an improved Lagrange framework with the weighted least square transformation of objective function, which is then solved by a pair of coupled preconditioned gradient approaches. Experiment results show that the proposed algorithm performs better than existing image fusion strategies in terms of accuracy (average relative error 0.456, average correlation coefficient 0.870) and robustness (average standard derivation of relative error and correlation coefficient 0.056 and 0.041). Accordingly, the dual-mode UT approach is proved feasible to provide more accurate image of biphasic medium distribution.
Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalIEEE Transactions on Industrial Informatics
Early online date10 Nov 2022
DOIs
Publication statusE-pub ahead of print - 10 Nov 2022

Keywords

  • Attenuation
  • Dual-modality tomography
  • Image fusion
  • Image reconstruction
  • Linear programming
  • Sensors
  • Tomographic inverse problem
  • Tomography
  • Transducers
  • Ultrasonic process tomography
  • Ultrasound reflection
  • Ultrasound transmission

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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