A 4-D Ultrasound Tomography for Industrial Process Reactors Investigation

Abstract

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.

Ultrasound Tomography for Lung Imaging: An Experimental Phantom Study

“…Where 𝜟𝜟𝜟𝜟 is the reconstructed distribution based on acoustic features, A is the modeling operator, which expresses the sensitivity distribution in the FOV, 𝜟𝜟𝜟𝜟 is the sensor's recorded data, and 𝒆𝒆 is the noise in the measurements. A ray-based method was used to generate the sensitivity matrix, as shown in [11]. A simplified inversion can be done using back projection.…”

“…There are no experimental studies related to lung UST imaging. This is despite great progress made in further advancement of the UST devices and algorithms in past few years [11][12][13][14]. A simulations study of thorax UST was shown in [15].…”