Literature DB >> 18270001

A broadband high-frequency electrical impedance tomography system for breast imaging.

Ryan J Halter1, Alex Hartov, Keith D Paulsen.   

Abstract

Bio-electric impedance signatures arise primarily from differences in cellular morphologies within an organ and can be used to differentiate benign and malignant pathologies, specifically in the breast. Electrical impedance tomography (EIT) is an imaging modality that determines the impedance distribution within tissue and has been used in prior work to map the electrical properties of breast at signal frequencies ranging from a few kHz to 1 MHz. It has been suggested that by extending the frequency range, additional information of clinical significance may be obtained. We have, therefore, developed a new EIT system for breast imaging which covers the frequency range from 10 kHz to 10 MHz. The instrument developed here is a distributed processor tomograph with 64 channels, capable of generating and measuring voltages and currents. Electrical benchmarking has shown the system to have a SNR greater than 94 dB up to 2 MHz, 90 dB up to 7 MHz, and 65 dB at 10 MHz. In addition, the system measures impedances to an accuracy of 99.7 % and has channel-to-channel variations of less than 0.05 %. Phantom imaging has demonstrated the ability to image across the entire frequency range in both single- and multiplane configurations. Further, 96 women have participated safely in breast exams with the system and the associated conductivity spectra obtained from 3-D image reconstructions range from 0.0237 S/m at 10 kHz to 0.2174 S/m at 10 MHz. These findings are consistent with impedance values reported in the literature.

Entities:  

Mesh:

Year:  2008        PMID: 18270001     DOI: 10.1109/TBME.2007.903516

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  23 in total

1.  Sensitivity study of an ultrasound coupled transrectal electrical impedance tomography system for prostate imaging.

Authors:  Y Wan; R Halter; A Borsic; P Manwaring; A Hartov; K Paulsen
Journal:  Physiol Meas       Date:  2010-07-21       Impact factor: 2.833

2.  A fast time-difference inverse solver for 3D EIT with application to lung imaging.

Authors:  Ashkan Javaherian; Manuchehr Soleimani; Knut Moeller
Journal:  Med Biol Eng Comput       Date:  2016-01-06       Impact factor: 2.602

3.  Video rate electrical impedance tomography of vascular changes: preclinical development.

Authors:  Ryan Halter; Alex Hartov; Keith Paulsen
Journal:  Physiol Meas       Date:  2008-02-22       Impact factor: 2.833

4.  Toward microendoscopic electrical impedance tomography for intraoperative surgical margin assessment.

Authors:  Ryan J Halter; Young-Joong Kim
Journal:  IEEE Trans Biomed Eng       Date:  2014-06-06       Impact factor: 4.538

5.  Optical breast shape capture and finite-element mesh generation for electrical impedance tomography.

Authors:  J Forsyth; A Borsic; R J Halter; A Hartov; K D Paulsen
Journal:  Physiol Meas       Date:  2011-06-07       Impact factor: 2.833

Review 6.  Electrical Impedance Myography and Its Applications in Neuromuscular Disorders.

Authors:  Benjamin Sanchez; Seward B Rutkove
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

7.  An Instrumental Electrode Configuration for 3D Ultrasound Modulated Electrical Impedance Tomography.

Authors:  Xizi Song; Yanbin Xu; Feng Dong; Russell S Witte
Journal:  IEEE Sens J       Date:  2017-05-23       Impact factor: 3.301

8.  The correlation of in vivo and ex vivo tissue dielectric properties to validate electromagnetic breast imaging: initial clinical experience.

Authors:  Ryan J Halter; Tian Zhou; Paul M Meaney; Alex Hartov; Richard J Barth; Kari M Rosenkranz; Wendy A Wells; Christine A Kogel; Andrea Borsic; Elizabeth J Rizzo; Keith D Paulsen
Journal:  Physiol Meas       Date:  2009-06-02       Impact factor: 2.833

9.  A two-layered forward model of tissue for electrical impedance tomography.

Authors:  Rujuta Kulkarni; Tzu-Jen Kao; Gregory Boverman; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  Physiol Meas       Date:  2009-06-02       Impact factor: 2.833

10.  Modern breast cancer detection: a technological review.

Authors:  Adam B Nover; Shami Jagtap; Waqas Anjum; Hakki Yegingil; Wan Y Shih; Wei-Heng Shih; Ari D Brooks
Journal:  Int J Biomed Imaging       Date:  2009-12-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.