Principal Curves: a Technique for Preliminary Carotid Lumen Segmentation and Stenosis Grading
logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3096
A vessel lumen centerline extraction method is presented. Its preprocessing and initialization for the application to 3D CT angiography (CTA) image volumes are also described. This approach is based upon the theory of principal curves to finding lumen axis. Meanwhile, it also estimates the lumen local width with an 1D intensity model that depicts an ideal lumen cross-sectional profile. We tested the method on 46 CTA datasets supplied with the Carotid Lumen Segmentation and Stenosis Grading Challenge (CLS) of the ``3D Segmentation in the Clinic: a Grade Challenge'', a 2009 MICCAI Workshop. The evaluation of 31 testing datasets suggests that our method can provide a good basis for post-processing if high accuracy of segmentation and stenosis grading is desired.

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

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

Information more
backyellow
Categories: Feature extraction, Segmentation
Keywords: Centerlines, Principal curves
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
A Distributed Software Framework for Robotic Surgery A Distributed Software Framework for Robotic Surgery
by Staub C., Ning Y., Can S., Knoll A.
Voxelizer plug-in for Blender Voxelizer plug-in for Blender
by Grothausmann R., Gout J., Kühnel M.

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas