Figure 3 | Scientific Reports

Figure 3

From: Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies

Figure 3

The effect of image noise on voxel classification. (a) An axial slice after application of the largest connected volume filter and thresholding (− 190 to − 30 HU) but prior to application of the anatomical noise filter. Epicardial adipose tissue (EAT) is represented in yellow. It is evident that the chambers of the heart contain a number of voxels wrongly classified as EAT. (b) The same axial slice, but after also applying the anatomical noise-filter. Here true EAT is represented in green, while voxels removed by the filter are blue. Voxels in red are not affected by the filter. It can be seen that most of the voxels misclassified by thresholding are correctly identified by the filter.

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