A VTK-based, CUDA-optimized Non-Parametric Vessel Detection Method
logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3146
We present a VTK-based implementation of our non-parametric vessel detection method that identifies vascular structures using a polar neighborhood profile. To accelerate the computationally intensive parts of the algorithm, we leverage the hardware capabilities in commodity graphics hardware using Compute Unified Device Architecture (CUDA). We present the results of our performance analysis and provide source code and examples to validate the reproducibility of our results.
Data
minus 2 Datasets (2Mb)
Code
minus Automatic Testing Results by Insight-Journal Dashboard on Wed Jan 27 18:11:29 2010 for revision #1
starstarstarstarstar expertise: 5 sensitivity: 5
yellow CMake was unable to configure this project.
Click here for more details.

Go here to access the main testing dashboard.

Reviews
There is no review at this time. Be the first to review this publication!

Quick Comments


Resources
backyellow
Download All
Download Paper , View Paper
Download Source code
Github

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating: starstarstarstarstar
Paper Quality: plus minus

Information more
backyellow
Categories: Feature extraction, Neighborhood filters
Keywords: vessel detection, hardware acceleration, polar profile, CUDA
Toolkits: CMake, VTK
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
Surface Meshes Incremental Decimation Framework Surface Meshes Incremental Decimation Framework
by Gelas A., Gouaillard A., Megason S.
Extracting Intersections of Coplanar Surfaces (Boolean-operation on touching meshes) Extracting Intersections of Coplanar Surfaces (Boolean-operation on touching meshes)
by Grothausmann R.

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas