Literature DB >> 26006279

Estimating a regional ventilation-perfusion index.

P A Muller1, T Li, D Isaacson, J C Newell, G J Saulnier, Tzu-Jen Kao, Jeffrey Ashe.   

Abstract

This is a methods paper, where an approximation to the local ventilation-perfusion ratio is derived. This approximation, called the ventilation-perfusion index since it is not exactly the physiological ventilation-perfusion ratio, is calculated using conductivity reconstructions obtained using electrical impedance tomography. Since computation of the ventilation-perfusion index only requires knowledge of the internal conductivity, any conductivity reconstruction method may be used. The method is explained and results are presented using conductivities obtained from two EIT systems, one using an iterative method and the other a linearization method.

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Year:  2015        PMID: 26006279      PMCID: PMC4479200          DOI: 10.1088/0967-3334/36/6/1283

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


  19 in total

1.  Regional lung perfusion estimated by electrical impedance tomography in a piglet model of lung collapse.

Authors:  João Batista Borges; Fernando Suarez-Sipmann; Stephan H Bohm; Gerardo Tusman; Alexandre Melo; Enn Maripuu; Mattias Sandström; Marcelo Park; Eduardo L V Costa; Göran Hedenstierna; Marcelo Amato
Journal:  J Appl Physiol (1985)       Date:  2011-09-29

2.  Distinguishability of conductivities by electric current computed tomography.

Authors:  D Isaacson
Journal:  IEEE Trans Med Imaging       Date:  1986       Impact factor: 10.048

3.  V/Q scanning using SPECT and SPECT/CT.

Authors:  Paul J Roach; Geoffrey P Schembri; Dale L Bailey
Journal:  J Nucl Med       Date:  2013-08-01       Impact factor: 10.057

4.  Local mechanics of the lung tissue determined by functional EIT.

Authors:  G Hahn; I Frerichs; M Kleyer; G Hellige
Journal:  Physiol Meas       Date:  1996-11       Impact factor: 2.833

5.  Real-time 3D electrical impedance imaging for ventilation monitoring of the lung: Pilot study.

Authors:  Bruce Amm; Tzu-Jen Kao; Xin Wang; Gregory Boverman; David Shoudy; James Sabatini; Jeffrey Ashe; Jonathan Newell; Gary Saulnier; David Isaacson; David Davenport
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

6.  Real-time 3D electrical impedance imaging for ventilation and perfusion of the lung in lateral decubitus position.

Authors:  Tzu-Jen Kao; Bruce Amm; Xin Wang; Gregory Boverman; David Shoudy; James Sabatini; Jeffrey Ashe; Jonathan Newell; Gary Saulnier; David Isaacson; David Davenport
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

7.  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

8.  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

9.  Adaptive Kaczmarz method for image reconstruction in electrical impedance tomography.

Authors:  Taoran Li; Tzu-Jen Kao; David Isaacson; Jonathan C Newell; Gary J Saulnier
Journal:  Physiol Meas       Date:  2013-05-29       Impact factor: 2.833

10.  Measurement of ventilation and cardiac related impedance changes with electrical impedance tomography.

Authors:  Caroline A Grant; Trang Pham; Judith Hough; Thomas Riedel; Christian Stocker; Andreas Schibler
Journal:  Crit Care       Date:  2011-01-25       Impact factor: 9.097

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  2 in total

1.  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

2.  Estimating regions of air trapping from electrical impedance tomography data.

Authors:  Jennifer L Mueller; Peter Muller; Michelle Mellenthin; Rashmi Murthy; Michael Capps; Melody Alsaker; Robin Deterding; Scott D Sagel; Emily DeBoer
Journal:  Physiol Meas       Date:  2018-05-31       Impact factor: 2.833

  2 in total

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