Literature DB >> 16636419

Imaging cardiac activity by the D-bar method for electrical impedance tomography.

D Isaacson1, J L Mueller, J C Newell, S Siltanen.   

Abstract

A practical D-bar algorithm for reconstructing conductivity changes from EIT data taken on electrodes in a 2D geometry is described. The algorithm is based on the global uniqueness proof of Nachman (1996 Ann. Math. 143 71-96) for the 2D inverse conductivity problem. Results are shown for reconstructions from data collected on electrodes placed around the circumference of a human chest to reconstruct a 2D cross-section of the torso. The images show changes in conductivity during a cardiac cycle.

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Year:  2006        PMID: 16636419      PMCID: PMC1752230          DOI: 10.1088/0967-3334/27/5/S04

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


  15 in total

1.  Reconstruction of conductivity changes due to ventilation and perfusion from EIT data collected on a rectangular electrode array.

Authors:  J L Mueller; D Isaacson; J C Newell
Journal:  Physiol Meas       Date:  2001-02       Impact factor: 2.833

2.  Imaging of thoracic blood volume changes during the heart cycle with electrical impedance using a linear spot-electrode array.

Authors:  A E Hoetink; Th J C Faes; J T Marcus; H J J Kerkkamp; R M Heethaar
Journal:  IEEE Trans Med Imaging       Date:  2002-06       Impact factor: 10.048

3.  Electrical impedance tomography to measure pulmonary perfusion: is the reproducibility high enough for clinical practice?

Authors:  H J Smit; M L Handoko; A Vonk Noordegraaf; Th J C Faes; P E Postmus; P M J M de Vries; A Boonstra
Journal:  Physiol Meas       Date:  2003-05       Impact factor: 2.833

4.  Reconstructions of chest phantoms by the D-bar method for electrical impedance tomography.

Authors:  David Isaacson; Jennifer L Mueller; Jonathan C Newell; Samuli Siltanen
Journal:  IEEE Trans Med Imaging       Date:  2004-07       Impact factor: 10.048

5.  Pulmonary perfusion measured by means of electrical impedance tomography.

Authors:  A Vonk Noordegraaf; P W Kunst; A Janse; J T Marcus; P E Postmus; T J Faes; P M de Vries
Journal:  Physiol Meas       Date:  1998-05       Impact factor: 2.833

6.  An assessment of dynamic images by applied potential tomography for monitoring pulmonary perfusion.

Authors:  F J McArdle; A J Suggett; B H Brown; D C Barber
Journal:  Clin Phys Physiol Meas       Date:  1988

7.  Localisation of cardiac related impedance changes in the thorax.

Authors:  B M Eyüboğlu; B H Brown; D C Barber; A D Seagar
Journal:  Clin Phys Physiol Meas       Date:  1987

8.  The Sheffield data collection system.

Authors:  B H Brown; A D Seagar
Journal:  Clin Phys Physiol Meas       Date:  1987

9.  A real-time electrical impedance tomograph.

Authors:  P M Edic; G J Saulnier; J C Newell; D Isaacson
Journal:  IEEE Trans Biomed Eng       Date:  1995-09       Impact factor: 4.538

10.  Regional lung perfusion as determined by electrical impedance tomography in comparison with electron beam CT imaging.

Authors:  Inéz Frerichs; José Hinz; Peter Herrmann; Gerald Weisser; Günter Hahn; Michael Quintel; Gerhard Hellige
Journal:  IEEE Trans Med Imaging       Date:  2002-06       Impact factor: 10.048

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  20 in total

1.  Reconstructions of conductive and insulating targets using the D-bar method on an elliptical domain.

Authors:  E K Murphy; J L Mueller; J C Newell
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

2.  Calderón's method on an elliptical domain.

Authors:  P A Muller; D Isaacson; J C Newell; G J Saulnier
Journal:  Physiol Meas       Date:  2013-05-29       Impact factor: 2.833

3.  A Real-time D-bar Algorithm for 2-D Electrical Impedance Tomography Data.

Authors:  Melody Dodd; Jennifer L Mueller
Journal:  Inverse Probl Imaging (Springfield)       Date:  2014-11-01       Impact factor: 1.639

4.  Estimating a regional ventilation-perfusion index.

Authors:  P A Muller; T Li; D Isaacson; J C Newell; G J Saulnier; Tzu-Jen Kao; Jeffrey Ashe
Journal:  Physiol Meas       Date:  2015-05-26       Impact factor: 2.833

5.  Comparing D-bar and common regularization-based methods for electrical impedance tomography.

Authors:  S J Hamilton; W R B Lionheart; A Adler
Journal:  Physiol Meas       Date:  2019-04-26       Impact factor: 2.833

6.  The D-bar method for electrical impedance tomography-demystified.

Authors:  J L Mueller; S Siltanen
Journal:  Inverse Probl       Date:  2020-08-31       Impact factor: 2.407

7.  Evaluation of surrogate measures of pulmonary function derived from electrical impedance tomography data in children with cystic fibrosis.

Authors:  Peter A Muller; Jennifer L Mueller; Michelle Mellenthin; Rashmi Murthy; Michael Capps; Brandie D Wagner; Melody Alsaker; Robin Deterding; Scott D Sagel; Jordana Hoppe
Journal:  Physiol Meas       Date:  2018-04-26       Impact factor: 2.833

8.  Incorporating a Spatial Prior into Nonlinear D-Bar EIT Imaging for Complex Admittivities.

Authors:  Sarah J Hamilton; J L Mueller; M Alsaker
Journal:  IEEE Trans Med Imaging       Date:  2016-09-26       Impact factor: 10.048

9.  DYNAMIC OPTIMIZED PRIORS FOR D-BAR RECONSTRUCTIONS OF HUMAN VENTILATION USING ELECTRICAL IMPEDANCE TOMOGRAPHY.

Authors:  Melody Alsaker; Jennifer L Mueller; Rashmi Murthy
Journal:  J Comput Appl Math       Date:  2018-08-13       Impact factor: 2.621

10.  Direct 2-D reconstructions of conductivity and permittivity from EIT data on a human chest.

Authors:  Claudia N L Herrera; Miguel F M Vallejo; Jennifer L Mueller; Raul G Lima
Journal:  IEEE Trans Med Imaging       Date:  2014-09-04       Impact factor: 10.048

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