Magnetic Induction Tomography (MIT), which is also known as Electromagnetic Tomography (EMT) or Mutual Inductance Tomography, is among the imaging modalities of interest to many researchers around the world. This noninvasive modality applies an electromagnetic field and is sensitive to all three passive electromagnetic properties of a material that are conductivity, permittivity and permeability. MIT is categorized under the passive imaging family with an electrodeless technique through the use of excitation coils to induce an electromagnetic field in the material, which is then measured at the receiving side by sensors. The aim of this review is to discuss the challenges of the MIT technique and summarize the recent advancements in the transmitters and sensors, with a focus on applications in biological tissue imaging. It is hoped that this review will provide some valuable information on the MIT for those who have interest in this modality. The need of this knowledge may speed up the process of adopted of MIT as a medical imaging technology.
Agriculture is the foundation of Malaysia’s economy in addition to other government-focused industries. The trend of its contribution to the gross domestic product (GDP) has fluctuated from year to year. The highest value was 28.8% in 1970; this reduced to 7.5% in 2007, rose slightly to 7.7% in 2009, and then decreased to 7.3% in 2010. However, the value is still high compared with other developed countries, the value of which is typically only within the range of 1% to 3%. This fluctuating trend is related to several factors both globally and locally, such as disease and diminishing resources. Despite the constraints and challenges faced by the agricultural industry, the quality of the produce has to be maintained, while solutions to the current problems are sought. Thus, this article discusses the possibility of using the technique of Magnetic Induction Tomography (MIT) in the agricultural industry for application in a fruit-grading system, the early detection of basal stem rot disease in palm oil trees, and resin identification inside a karas (gaharu) tree
Magnetic Induction Tomography (MIT) is a contactless non-invasive imaging technique that interested in mapping the passive electrical properties of a material; conductivity, permittivity and permeability. This paper presents the criteria and previous functional specification involving the development of MIT, focusing in conductivity imaging. Various ways have been implemented from a simple electronic configuration of the front-end sensory circuit, data acquisition system, reconstruction algorithm and graphical user interfacing (GUI) tools. Induction sensors are paramount as it does provide the signal source for time varying magnetic field to the coils. The advantages and limitations of MIT are also presented. Many more advancement can be expected to enhance the lack of MIT especially in spatial resolution and dynamic response of the sensor.
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