Vortex Segmentation from Cardiac MR 2D Velocity Images Using Region Growing about Vortex Centres

M
MIAR
2001
International Workshop on Medical Imaging and Augmented Reality (MIAR '01)
Abstract - Vortex Segmentation from Cardiac MR 2D Velocity Images Using Region Growing about Vortex Centres

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International Workshop on Medical Imaging and Augmented Reality (MIAR '01)

Shatin, N.T., Hong Kong

June 10-June 12

ISBN: 0-7695-1113-9

	ASCII Text	x
	Anil Rao, Duncan Gillies, "Vortex Segmentation from Cardiac MR 2D Velocity Images Using Region Growing about Vortex Centres," Medical Imaging and Augmented Reality, International Workshop on, pp. 0222, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001.

	BibTex	x
	@article{ 10.1109/MIAR.2001.930290, author = {Anil Rao and Duncan Gillies}, title = {Vortex Segmentation from Cardiac MR 2D Velocity Images Using Region Growing about Vortex Centres}, journal ={Medical Imaging and Augmented Reality, International Workshop on}, volume = {0}, year = {2001}, isbn = {0-7695-1113-9}, pages = {0222}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIAR.2001.930290}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Medical Imaging and Augmented Reality, International Workshop on TI - Vortex Segmentation from Cardiac MR 2D Velocity Images Using Region Growing about Vortex Centres SN - 0-7695-1113-9 SP EP A1 - Anil Rao, A1 - Duncan Gillies, PY - 2001 KW - Vortex segmentation; Blood flow; Convex region VL - 0 JA - Medical Imaging and Augmented Reality, International Workshop on ER -

Anil Rao, Imperial College of Science, Technology and Medicine

Duncan Gillies, Imperial College of Science, Technology and Medicine

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIAR.2001.930290

Abstract: We present a new method for extracting vortex structures from 2D blood flow field images. The new technique first identifies vortex centres in the velocity field, and then grows regions about these points using a criterion based on the Jacobeans evaluated at the candidate points, and the size and shape of the region already determined. A convexity constraint is also employed to enforce coherency in the resulting regions. The algorithm accounts for the asymmetry and non-linearity in vortex structures while maintaining the concept of a vortex centre. We present results of the method obtained from synthetic data and a blood flow velocity image.

Index Terms:

Vortex segmentation; Blood flow; Convex region

Citation:

Anil Rao, Duncan Gillies, "Vortex Segmentation from Cardiac MR 2D Velocity Images Using Region Growing about Vortex Centres," miar, pp.0222, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001

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