Study and design of an ultrasonic flow tomographic front-end multi level measurement system

With the rapid evolution of electro-acoustical technology, ultrasonic tomography has made considerable progress in industry. An ultrasonic tomography system provides non-invasive and non-intrusive flow visualisation that enhances the understanding of fluid flow processes. The function of ultrasonic tomography is to continuously monitor the dynamics of liquid flow without interrupting the flow. The ultrasonic tomography technique is fully supported by a front-end hardware system. The front end is defined as all the hardware circuitries, including the ultrasonic transducer up to the Analogue-to-Digital Convertors (ADCs), even though the primary focus is the analogue signal processing components. We present here the challenges and trade-offs in the implementation of a front-end system by first explaining the basic operation of such a system, and then indicating what particular performance parameters are needed to ensure optimal system operation. Based on the results from our research studies, we propose an improved front-end multi-level solution that is more accurate than previous solutions and provides real-time measurement capability

Magnetic Induction Tomography Modeling In Biological Tissue Imaging Using Two-Port Network Technique

Magnetic Induction Tomography (MIT) is a non-invasive and non-intrusive imaging technique which interested in passive electrical properties of a material that are permittivity, permeability and conductivity. MIT applies sinusoidal electromagnetic field generated by excitation coil. The electromagnetic signal propagates and then penetrates the material located in the region of interest (ROI). The eddy currents are induced within the material itself due to its conductivity property. These eddy currents generate secondary fields and then are measured at the receiver by the sensors. Secondary magnetic field carries the information of the electrical properties inside the material, thus it is very important in reconstructing the image of the material through the use of image reconstruction algorithm. This paper is intended to discuss the modeling of Magnetic Induction tomography (MIT) in biological tissue imaging using two-port network technique hence developed the sensitivity maps which is vital in image reconstruction algorithm