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4th IEEE Southwest Symposium on Image Analysis and Interpretation
Tubular Objects Network Detection from 3D Images
Austin, Texas
April 02-April 04
ISBN: 0-7695-0595-3
ASCII Text
x 
 
N. Flasque, M. Desvignes, M. Revenu, J.M. Constans, "Tubular Objects Network Detection from 3D Images," Image Analysis and Interpretation, IEEE Southwest Symposium on, pp. 96, 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000.
 
 
BibTex
x
 
@article{ 10.1109/IAI.2000.839579,
author = {N. Flasque and M. Desvignes and M. Revenu and J.M. Constans},
title = {Tubular Objects Network Detection from 3D Images},
journal ={Image Analysis and Interpretation, IEEE Southwest Symposium on},
volume = {0},
year = {2000},
isbn = {0-7695-0595-3},
pages = {96},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAI.2000.839579},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Image Analysis and Interpretation, IEEE Southwest Symposium on
TI - Tubular Objects Network Detection from 3D Images
SN - 0-7695-0595-3
SP
EP
A1 - N. Flasque,
A1 - M. Desvignes,
A1 - M. Revenu,
A1 - J.M. Constans,
PY - 2000
KW - 3D detection
KW - tubular structures
KW - network
KW - vascular network
KW - Magnetic Resonance Angiography
VL - 0
JA - Image Analysis and Interpretation, IEEE Southwest Symposium on
ER -
 
N. Flasque, Greyc-Image ISMRA
M. Desvignes, Greyc-Image ISMRA
M. Revenu, Greyc-Image ISMRA
J.M. Constans, Service d'IRM du CHU de Caen
We present an approach to the tree representation of a tubular objects network. The full-3D tracking algorithm for a single structure is detailed. Detection of bifurcations by a connectivity approach is then exposed. We show subvoxel accuracy and reliable orientation estimation for the tracking process on synthetic images. Bifurcations are also well detected on a complex synthetic image. Finally, applications of this method on real 3D medical images are shown. The method is particularly suited for processing Magnetic Resonance Angiography of the brain and neck.
Index Terms:
3D detection, tubular structures, network, vascular network, Magnetic Resonance Angiography
Citation:
N. Flasque, M. Desvignes, M. Revenu, J.M. Constans, "Tubular Objects Network Detection from 3D Images," ssiai, pp.96, 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000
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