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. 2020 Sep 29;24:586. doi: 10.1186/s13054-020-03301-x

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Illustration of the data analysis method of regional recruitment, overdistension, and V-Q matching in one study patient. Top: tidal variation images at ZEEP (left), PEEP (middle), and the corresponding difference image (right). In the tidal variation images, regions with low ventilation are marked in dark blue and highly ventilated regions in light blue to white. Collapsed or overdistended regions are comprised in the low/non-ventilated dark blue or black areas. In the difference image, ventilation gain and loss at PEEP compared to ZEEP are marked in blue and orange, respectively. Middle: perfusion images at ZEEP (left) and PEEP (middle). Highly perfused regions are marked in red. Colorbars in arbitrary units. Recruited and overdistended regions were defined based on ventilation difference image (right). Bottom: regional V-Q matching images at ZEEP (left) and PEEP (right)