Literature DB >> 12846431

Electrical conductivity imaging via contactless measurements: an experimental study.

Başak Ulker Karbeyaz1, Nevzat G Gençer.   

Abstract

A data-acquisition system has been developed to image electrical conductivity of biological tissues via contactless measurements. This system uses magnetic excitation to induce currents inside the body and measures the resulting magnetic fields. The data-acquisition system is constructed using a PC-controlled lock-in amplifier instrument. A magnetically coupled differential coil is used to scan conducting phantoms by a computer controlled scanning system. A 10000-turn differential coil system with circular receiver coils of radii 15 mm is used as a magnetic sensor. The transmitter coil is a 100-turn circular coil of radius 15 mm and is driven by a sinusoidal current of 200 mA (peak). The linearity of the system is 7.2% full scale. The sensitivity of the system to conducting tubes when the sensor-body distance is 0.3 cm is 21.47 mV/(S/m). It is observed that it is possible to detect a conducting tube of average conductivity (0.2 S/m) when the body is 6 cm from the sensor. The system has a signal-to-noise ratio of 34 dB and thermal stability of 33.4 mV/degrees C. Conductivity images are reconstructed using the steepest-descent algorithm. Images obtained from isolated conducting tubes show that it is possible to distinguish two tubes separated 17 mm from each other. The images of different phantoms are found to be a good representation of the actual conductivity distribution. The field profiles obtained by scanning a biological tissue show the potential of this methodology for clinical applications.

Mesh:

Year:  2003        PMID: 12846431     DOI: 10.1109/tmi.2003.812271

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  6 in total

1.  Single-step 3-d image reconstruction in magnetic induction tomography: theoretical limits of spatial resolution and contrast to noise ratio.

Authors:  Hermann Scharfetter; Karl Hollaus; Javier Rosell-Ferrer; Robert Merwa
Journal:  Ann Biomed Eng       Date:  2006-10-10       Impact factor: 3.934

2.  Simultaneous head tissue conductivity and EEG source location estimation.

Authors:  Zeynep Akalin Acar; Can E Acar; Scott Makeig
Journal:  Neuroimage       Date:  2015-08-22       Impact factor: 6.556

Review 3.  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

4.  Effects of forward model errors on EEG source localization.

Authors:  Zeynep Akalin Acar; Scott Makeig
Journal:  Brain Topogr       Date:  2013-01-26       Impact factor: 3.020

Review 5.  Screening and Biosensor-Based Approaches for Lung Cancer Detection.

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

6.  How Geometry Affects Sensitivity of a Differential Transformer for Contactless Characterization of Liquids.

Authors:  Marc Berger; Anne Zygmanowski; Stefan Zimmermann
Journal:  Sensors (Basel)       Date:  2021-03-29       Impact factor: 3.576

  6 in total

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