Fig. 6 | Scientific Reports

Fig. 6

From: Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney

Fig. 6

Processing pipeline for HiP-CT imaging and segmentation of human kidney vasculature. (A) Setup for imaging acquisition using HiP-CT at BM05; (1) tomographic stage, (2) platform, (3) sample, (4) reference sample (B) Image processing pipeline; (1) a 2D reconstructed image at 25 μmm3/voxel resolution; (2) binning the image by (2, 3) applying 3D median filter to increase signal-to-noise ratio, (4) Image normalisation using background detection correction, (5) Segmentation and thresholding, (6) Labelling the four main arterial branches (C) 3D rendering of the segmented vascular network of a human kidney. Each of the main four branching of the renal artery entering the kidney are colour-coded, Figure after21.

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