Abstract
Ultrasound computed tomography (USCT) is gaining interests in many application areas in industrial processes. The recent scientific research focuses on the possible uses of USCT for varied fields of industry such as flow monitoring in pipes, non-destructive inspection, and monitoring of stirred tanks chemical processes. Until now, most transmission tomography (UTT) and reflection tomography (URT) have been demonstrated individually for these applications. A full waveform USCT contain large amount of information on process under evaluation. The developed approach in this paper is focusing on demonstration of a triple modality USCT. First, an optimised transmission image is formed by fusion of time-of-flight (TOF) and acoustic attenuation (AA) images. Secondly, a reflection image is being optimised by using the information from the transmission image. This triple modality method enables integration of a shape-based approach obtained by URT mode with the quantitative image-based approach UTT mode. A delicate combination of the different information provided by various features of the full-wave signal offers optimal and increased spatial resolution and provides complementary information. Verification tests have been implemented using experimental phantoms of different combinations, sizes, and shapes, to investigate the qualitative imaging features. Moreover, experiments with different concentrations solutions further validate the quantitative traits to benefit from both reflection and transmission modes. This work displays the potential of the full-waveform USCT for industrial applications.
| Original language | English |
|---|---|
| Pages (from-to) | 20896-20909 |
| Number of pages | 14 |
| Journal | IEEE Sensors Journal |
| Volume | 21 |
| Issue number | 18 |
| Early online date | 27 Jul 2021 |
| DOIs | |
| Publication status | Published - 15 Sept 2021 |
Funding
Manuscript received June 24, 2021; revised July 22, 2021; accepted July 23, 2021. Date of publication July 27, 2021; date of current version September 15, 2021. This work was supported by the European Union’s Horizon 2020 Research and Innovation Program through Marie Skłodowska-Curie Grant 764902. The associate editor coordinating the review of this article and approving it for publication was Prof. Yongqiang Zhao. (Corresponding author: Manuchehr Soleimani.) Panagiotis Koulountzios and Manuchehr Soleimani are with the Electronic and Electrical Engineering Department, University of Bath, Bath BA2 7AY, U.K. (e-mail: [email protected]; [email protected]).
| Funders | Funder number |
|---|---|
| Marie Skłodowska-Curie | 764902 |
| Horizon 2020 Framework Programme |
Keywords
- AA imaging
- TOF imaging
- Ultrasound computed tomography (USCT)
- full-waveform rich tomography
- industrial processes
- multi-modality ultrasound tomography
- reflection imaging
- ultrasound process tomography (UPT)
ASJC Scopus subject areas
- Instrumentation
- Electrical and Electronic Engineering