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 |
 | Synthetic Willis structure.zip
Resolution: 1 x 1 x 1 mm3
Dimension: 128x128x128 pixels
Data type=float - Bits/pixel:32
Radius = 2 pixels | |
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maysa (a t) ime.usp.br
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