Synthetic dataset to vessel extraction method.
We built some synthetic Analyze images to test our vessel tracking method. They are sinusoidal shapes with or not bifurcations. Additionally we put some noise according to Gaussian distribution. Sigma= 5% ,10% and 15%.
If you publish results about this dataset, please, put the reference :
@inproceedings{Macedo,
author = {M.M.G. Macedo and C. Mekkaoui and M.P. Jackowski },
title = {Vessel centerline tracking in CTA and MRA images using Hough transform},
booktitle = {Lecture Notes in Computer Science},
volume = 6419,
pages = {295-302},
doi= {10.1007/978-3-0642-16687-7_41},
year = 2010
}
| Synthetic 09/90.zip Resolution: 1 x 1 x 1 mm3 Dimension: 128x128x128 pixels Data type=float - Bits/pixel:32 Radius = 2 pixels | |
| Synthetic 09/170.zip Resolution: 1 x 1 x 1 mm3 Dimension: 128x128x128 pixels Data type=float - Bits/pixel:32 Radius = 2 pixels |
| Synthetic 01/90.zip Resolution: 1 x 1 x 1 mm3 Dimension: 128x128x128 pixels Data type=float - Bits/pixel:32 Radius = 2 pixels | |
| Synthetic 01/170.zip Resolution: 1 x 1 x 1 mm3 Dimension: 128x128x128 pixels Data type=float - Bits/pixel:32 Radius = 2 pixels |
| Synthetic 004_90.zip Resolution: 1 x 1 x 1 mm3 Dimension: 128x128x128 pixels Data type=float - Bits/pixel:32 Radius = 2 pixels | |
| Synthetic 004/170.zip Resolution: 1 x 1 x 1 mm3 Dimension: 128x128x128 pixels Data type=float - Bits/pixel:32 Radius = 2 pixels |
| Synthetic tree.zip Resolution: 1 x 1 x 1 mm3 Dimension: 128x128x128 pixels Data type=float - Bits/pixel:32 Radius = 2 pixels | |
| Synthetic sinusoidal tree.zip Resolution: 1 x 1 x 1 mm3 Dimension: 128x128x128 pixels Data type=float - Bits/pixel:32 Radius = 2 pixels |
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