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. 2022 Apr 7;117(1):21. doi: 10.1007/s00395-022-00928-5

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© The Author(s) 2022

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/.

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Fig. 5 — Segmental analysis of ¹⁹F integral and infarct tissue characteristics. Whole heart correlation of the ¹⁹F integral (Signal-to-noise-ratio [SNR] * ml) with infarct tissue characteristics (ml): A edema extent, B infarct size (IS), C regional perfusion, D microvascular obstruction (MVO) and E intramyocardial hemorrhage (IMH). The whole heart analysis, using a bivariate correlation model, revealed only MVO inversely correlated with ¹⁹F volume. Global and regional (segmental) analysis for the respective infarct pattern is given with example images (edema extent = green borders, IS = red borders, regional perfusion defect = yellow star, MVO = green arrows, IMH = red arrows). The bullseye plots are shown with color intensity coding according to the individuals positive for the respective segment. Additionally, ¹⁹F Signal to Noise Ratio, T1 and T2 values, as well as perfusion index, are given in mean values (n = 10 animals) per segment. IMH and MVO segments are indicated with “−”and “ + ”