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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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