Figure 5 | Scientific Reports

Figure 5

From: Accurate exclusion of kidney regions affected by susceptibility artifact in blood oxygenation level-dependent (BOLD) images using deep-learning-based segmentation

Figure 5

A representative example of application of the proposed method to a human kidney BOLD data. (A) The segmented kidney area versus TE curve with bilinear fitting; area affected by SA was 17.6%, and the relative RMS of the bilinear fitting was 0.42%. (B) The image with TE of 25.3 ms (estimated turning point), with overlayed mask (in red). (C) The image with TE of 43.8 ms (the longest TE for the acquired set of images), with overlayed mask (in red). In the lower-right lobe, signal decay made the kidney tissue non-differentiable from the background.

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