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. 2015 Jun;36(6):1283-95.
doi: 10.1088/0967-3334/36/6/1283. Epub 2015 May 26.

Estimating a regional ventilation-perfusion index

P A Muller  1 , T Li, D Isaacson, J C Newell, G J Saulnier, Tzu-Jen Kao, Jeffrey Ashe
Affiliations

Estimating a regional ventilation-perfusion index

P A Muller et al. Physiol Meas. 2015 Jun.

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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Figures

Figure 1
Figure 1
Volume fraction of blood ranging from 0 (lightest) to 1 (darkest), with frame rate 18.8 fps using ACT 3 data
Figure 2
Figure 2
Volume fraction of air ranging from 0 (lightest) to 1 (darkest), with frame rate 18.8 fps using ACT 3 data
Figure 3
Figure 3
Typical volume fraction waveforms for a lung voxel during ventilation and perfusion, with a frame rate of 18.8 fps using ACT 3 data
Figure 4
Figure 4
Ventilation-perfusion index maps from ACT 3 data
See this image and copyright information in PMC

References

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