A New Concept of Discretization Model for Imaging Improving in Ultrasound Transmission Tomography

Rymarczyk, Tomasz; Polakowski, K.; Sikora, Jan

doi:10.35784/iapgos.131

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…Such a model is more realistic to the real setup because it accounts for the piezoelectric transducers' characteristics. Rymarzyck et al have presented a method of incorporating smoother sensitivity distribution by using the circumscribed sphere's radius instead of using the inscribed spheres' radius of the voxel [41]. The circumscribed sphere's radius represents half of the diagonal value of the voxel.…”

Section: Optimised Ray-voxel Intersectionmentioning

confidence: 99%

A 4-D Ultrasound Tomography for Industrial Process Reactors Investigation

Koulountzios

Rymarczyk²,

Soleimani

2022

IEEE Trans. Instrum. Meas.

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A volumetric ultrasound tomography (UST) system and method are established for industrial process applications. A twoplane ring-array UST system is developed for 3D imaging of the process under test. Such a 3D system allows capturing axial variations, which is not possible in 2D or 2.5D imaging. A ray-voxel intersection method is used to create the sensitivity matrix needed for the 3D or 4D image reconstruction. Acquiring and processing time series data lead to 4D imaging, generating dynamical volumetric image by using a time correlative total variation (TV) algorithm. The 3D forward model using the ray propagation model offers a computationally efficient tool for modelling the measurement process in UST and is used for image reconstruction. In combination with the advanced 4D TV algorithm, high-quality information is gained from time and space. At first, the 3D imaging methodology was tested and verified using static objects. Secondly, 4D imaging was investigated by using a moving rod in an experimental tank. The system was then implanted to carry out dynamical process monitoring, imaging 4D crystallisation process. Finally, the results are evaluated using quantitative image evaluation in 3D mode and process dynamics in 4D imaging mode.

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Section: Optimised Ray-voxel Intersectionmentioning

confidence: 99%

A 4-D Ultrasound Tomography for Industrial Process Reactors Investigation

Koulountzios

Rymarczyk²,

Soleimani

2022

IEEE Trans. Instrum. Meas.

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“…Many imaging techniques for the morphology evaluation of crystals use microscopic samples in the offline system for particle characterization [ 9 ]. However, online PAT imaging techniques, such as Electrical Capacitance Tomography (ECT) [ 10 , 11 , 12 , 13 ] and ultrasound tomography [ 14 , 15 ], have proved to be very useful tomographic techniques to visualize the fluids and dense phases or separate the solutions depending on concentrations.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate Assessments

Rao

Sattar

Wajman

et al. 2021

Sensors

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Crystallization is a significant procedure in the manufacturing of many pharmaceutical and solid food products. In-situ electrical resistance tomography (ERT) is a novel process analytical tool (PAT) to provide a cheap and quick way to test, visualize, and evaluate the progress of crystallization processes. In this work, the spatial accuracy of the nonconductive phantoms in low-conductivity solutions was evaluated. Gauss–Newton, linear back projection, and iterative total variation reconstruction algorithms were used to compare the phantom reconstructions for tap water, industrial-grade saturated sucrose solution, and demineralized water. A cylindrical phantom measuring 10 mm in diameter and a cross-section area of 1.5% of the total beaker area was detected at the center of the beaker. Two phantoms with a 10-mm diameter were visualized separately in noncentral locations. The quantitative evaluations were done for the phantoms with radii ranging from 10 mm to 50 mm in demineralized water. Multiple factors, such as ERT device and sensor development, Finite Element Model (FEM) mesh density and simulations, image reconstruction algorithms, number of iterations, segmentation methods, and morphological image processing methods, were discussed and analyzed to achieve spatial accuracy. The development of ERT imaging modality for the purpose of monitoring crystallization in low-conductivity solutions was performed satisfactorily.

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“…The existing methods for reflective ultrasound tomography analyse the reflection on the path typical to the transducer [16]. In contrast, other methods use a convolution-back projection algorithm for reconstruction [17], or iterative method involving minimisation of the objective function [18] or use different discretisation model [19]. The only limit here is the number of transducers used for the ultrasound measurement, and thus it is limited to the amount of information extracted from the system.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning and Deterministic Approach to the Reflective Ultrasound Tomography

Majerek

Rymarczyk

Wójcik³

et al. 2021

Energies

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This paper describes the method developed using the Extreme Gradient Boosting (Xgboost) algorithm that allows high-resolution imaging using the ultrasound tomography (UST) signal. More precisely, we can locate, isolate, and use the reflective peaks from the UST signal to achieve high-resolution images with low noise, which are far more useful for the location of points where the reflection occurred inside the experimental tank. Each reconstruction is divided into two parts, estimation of starting points of wave packets of raw signal (SAT—starting arrival time) and image reconstruction via XGBoost algorithm based on SAT matrix. This technology is the basis of a project to design non-invasive monitoring and diagnostics of technological processes. In this paper, we present a method of the complete solution for monitoring industrial processes. The measurements used in the study were obtained with the author’s solution of ultrasound tomography.

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A New Concept of Discretization Model for Imaging Improving in Ultrasound Transmission Tomography

Cited by 5 publications

References 8 publications

A 4-D Ultrasound Tomography for Industrial Process Reactors Investigation

A 4-D Ultrasound Tomography for Industrial Process Reactors Investigation

Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate Assessments

Machine Learning and Deterministic Approach to the Reflective Ultrasound Tomography

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