Literature DB >> 25376037

FPGA-based voltage and current dual drive system for high frame rate electrical impedance tomography.

Shadab Khan, Preston Manwaring, Andrea Borsic, Ryan Halter.   

Abstract

Electrical impedance tomography (EIT) is used to image the electrical property distribution of a tissue under test. An EIT system comprises complex hardware and software modules, which are typically designed for a specific application. Upgrading these modules is a time-consuming process, and requires rigorous testing to ensure proper functioning of new modules with the existing ones. To this end, we developed a modular and reconfigurable data acquisition (DAQ) system using National Instruments' (NI) hardware and software modules, which offer inherent compatibility over generations of hardware and software revisions. The system can be configured to use up to 32-channels. This EIT system can be used to interchangeably apply current or voltage signal, and measure the tissue response in a semi-parallel fashion. A novel signal averaging algorithm, and 512-point fast Fourier transform (FFT) computation block was implemented on the FPGA. FFT output bins were classified as signal or noise. Signal bins constitute a tissue's response to a pure or mixed tone signal. Signal bins' data can be used for traditional applications, as well as synchronous frequency-difference imaging. Noise bins were used to compute noise power on the FPGA. Noise power represents a metric of signal quality, and can be used to ensure proper tissue-electrode contact. Allocation of these computationally expensive tasks to the FPGA reduced the required bandwidth between PC, and the FPGA for high frame rate EIT. In 16-channel configuration, with a signal-averaging factor of 8, the DAQ frame rate at 100 kHz exceeded 110 frames s (-1), and signal-to-noise ratio exceeded 90 dB across the spectrum. Reciprocity error was found to be for frequencies up to 1 MHz. Static imaging experiments were performed on a high-conductivity inclusion placed in a saline filled tank; the inclusion was clearly localized in the reconstructions obtained for both absolute current and voltage mode data.

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Year:  2014        PMID: 25376037     DOI: 10.1109/TMI.2014.2367315

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


  10 in total

1.  Toward Electrical Impedance Tomography Coupled Ultrasound Imaging for Assessing Muscle Health.

Authors:  Ethan K Murphy; Joseph Skinner; Maria Martucci; Seward B Rutkove; Ryan J Halter
Journal:  IEEE Trans Med Imaging       Date:  2018-12-10       Impact factor: 10.048

2.  Prostate Cancer Detection Using Composite Impedance Metric.

Authors:  Shadab Khan; Aditya Mahara; Elias S Hyams; Alan R Schned; Ryan J Halter
Journal:  IEEE Trans Med Imaging       Date:  2016-06-09       Impact factor: 10.048

3.  Phantom Studies of Fused-Data TREIT Using Only Biopsy-Probe Electrodes.

Authors:  Ethan K Murphy; Xiaotian Wu; Alicia C Everitt; Ryan J Halter
Journal:  IEEE Trans Med Imaging       Date:  2020-10-28       Impact factor: 10.048

4.  Comparative study of separation between ex vivo prostatic malignant and benign tissue using electrical impedance spectroscopy and electrical impedance tomography.

Authors:  Ethan K Murphy; Aditya Mahara; Shadab Khan; Elias S Hyams; Alan R Schned; Jason Pettus; Ryan J Halter
Journal:  Physiol Meas       Date:  2017-03-10       Impact factor: 2.833

5.  Absolute Reconstructions Using Rotational Electrical Impedance Tomography for Breast Cancer Imaging.

Authors:  Ethan K Murphy; Aditya Mahara; Ryan J Halter
Journal:  IEEE Trans Med Imaging       Date:  2016-12-15       Impact factor: 10.048

Review 6.  Electrical Impedance Tomography Technical Contributions for Detection and 3D Geometric Localization of Breast Tumors: A Systematic Review.

Authors:  Juan Carlos Gómez-Cortés; José Javier Díaz-Carmona; José Alfredo Padilla-Medina; Alejandro Espinosa Calderon; Alejandro Israel Barranco Gutiérrez; Marcos Gutiérrez-López; Juan Prado-Olivarez
Journal:  Micromachines (Basel)       Date:  2022-03-23       Impact factor: 3.523

7.  Multi-frequency electrical impedance tomography and neuroimaging data in stroke patients.

Authors:  Nir Goren; James Avery; Thomas Dowrick; Eleanor Mackle; Anna Witkowska-Wrobel; David Werring; David Holder
Journal:  Sci Data       Date:  2018-07-03       Impact factor: 6.444

8.  A Versatile and Reproducible Multi-Frequency Electrical Impedance Tomography System.

Authors:  James Avery; Thomas Dowrick; Mayo Faulkner; Nir Goren; David Holder
Journal:  Sensors (Basel)       Date:  2017-01-31       Impact factor: 3.576

9.  Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA.

Authors:  Andres Vejar; Tomasz Rymarczyk
Journal:  Sensors (Basel)       Date:  2021-05-10       Impact factor: 3.576

Review 10.  A Review on Electrical Impedance Tomography Spectroscopy.

Authors:  Juliana Padilha Leitzke; Hubert Zangl
Journal:  Sensors (Basel)       Date:  2020-09-10       Impact factor: 3.576

  10 in total

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