Literature DB >> 15798239

Design and performance of a planar-array MIT system with normal sensor alignment.

C H Igney1, S Watson, R J Williams, H Griffiths, O Dössel.   

Abstract

In this study the performance of a planar array for magnetic induction tomography (MIT) was investigated and the results of measurements to determine the precision and sensitivity of the sensor were undertaken. A planar-array MIT system utilizing flux-linkage minimization for the primary field has been constructed and evaluated. The system comprises 4 printed excitation coils of 4 turns which were shielded, 8 surface-mount inductors of inductance 10 microH as sensor, mounted such that in principle no primary-field flux threads them, and a calibration coil to produce a strong primary field. The excitation current was multiplexed via relays to drive the excitation and reference coils. The noise values were similar in real and imaginary components in the lower frequencies and the factor to which the primary field could be reduced was greatest in the nearest coil. Methods for determining the true real and imaginary components and for flux-linkage minimization for the primary field for variations in channel sensitivities are described and the results of measurements of the system's noise and drift are given. A SNR of 47 dB was observed at 4 MHz when a 0.3 Sm-1 saline filled tank of dimensions 20 cmx20 cmx10 cm was placed centrally over the array. Finally, images were reconstructed from measurements of saline samples in a free space background, with the samples moved past the array in 21 1 cm steps to emulate mechanical scanning of the array. The image reconstruction characteristics of the planar array in conjunction with the reconstruction technique employed are discussed.

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Year:  2005        PMID: 15798239     DOI: 10.1088/0967-3334/26/2/025

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  3 in total

1.  Numerical modeling of magnetic induction tomography using the impedance method.

Authors:  Airton Ramos; Julia G B Wolff
Journal:  Med Biol Eng Comput       Date:  2011-01-13       Impact factor: 2.602

Review 2.  Advancements in transmitters and sensors for biological tissue imaging in magnetic induction tomography.

Authors:  Zulkarnay Zakaria; Ruzairi Abdul Rahim; Muhammad Saiful Badri Mansor; Sazali Yaacob; Nor Muzakkir Nor Ayub; Siti Zarina Mohd Muji; Mohd Hafiz Fazalul Rahiman; Syed Mustafa Kamal Syed Aman
Journal:  Sensors (Basel)       Date:  2012-05-29       Impact factor: 3.576

Review 3.  Screening and Biosensor-Based Approaches for Lung Cancer Detection.

Authors:  Lulu Wang
Journal:  Sensors (Basel)       Date:  2017-10-23       Impact factor: 3.576

  3 in total

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