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Flux driven automatic centerline extraction

delete2005-06-01
delete175
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OA
AI
S
Sylvain Bouix
K
Kaleem Siddiqi
A
Allen Tannenbaum
DOI:10.1016/j.media.2004.06.026delete
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Abstract

Abstract

En 中文
We present a fast, robust and automatic method for computing centerline paths through tubular structures for application to virtual endoscopy. The key idea is to utilize a skeletonization algorithm which exploits properties of the average outward flux of the gradient vector field of a Euclidean distance function from the boundary of the structure. The algorithm is modified to yield a collection of 3D curves, each of which is locally centered. The approach requires no user interaction, is virtually parameter free and has low computational complexity. We validate the method quantitatively on a number of synthetic data sets with known centerlines and qualitatively on colon and vessel data segmented from CT and CRA images. (c) 2004 Elsevier B.V. All rights reserved.
Keywords:
virtual endoscopy
centerlines
skeletons
medial surfaces
medial curves
validation
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Journal

Medical Image Analysis cover
Medical Image Analysis
IF:
11.8
Papers:
3.8K
Citations:
2.4W

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