A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motion

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	Similar Articles Articles by J.C. McEachen, II Articles by F.G. Meyer Articles by R. Todd Constable Articles by A. Nehorai Articles by J.S. Duncan

Fifth International Conference on Computer Vision (ICCV'95)

Massachusetts Institute of Technology, Cambridge, Massachusetts

June 20-June 23

ISBN: 0-8186-7042-8

	ASCII Text	x
	J.C. McEachen, II, F.G. Meyer, R. Todd Constable, A. Nehorai, J.S. Duncan, "A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motion," Computer Vision, IEEE International Conference on, pp. 653, Fifth International Conference on Computer Vision (ICCV'95), 1995.

	BibTex	x
	@article{ 10.1109/ICCV.1995.466876, author = {J.C. McEachen, II and F.G. Meyer and R. Todd Constable and A. Nehorai and J.S. Duncan}, title = {A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motion}, journal ={Computer Vision, IEEE International Conference on}, volume = {0}, year = {1995}, isbn = {0-8186-7042-8}, pages = {653}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466876}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision, IEEE International Conference on TI - A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motion SN - 0-8186-7042-8 SP EP A1 - J.C. McEachen, II, A1 - F.G. Meyer, A1 - R. Todd Constable, A1 - A. Nehorai, A1 - J.S. Duncan, PY - 1995 KW - biomedical NMR; cardiology; tracking filters; recursive filters; motion estimation; image matching; least squares approximations; medical image processing; phase velocity assisted shape-based tracking; cardiac nonrigid motion; pointwise periodic nonrigid motion tracking; heart left ventricular wall; magnetic resonance imaging techniques; phase-contrast cine MR imaging; spatial maps; instantaneous velocity; myocardium; shape-based matching techniques; trajectory estimation; shape information; raw trajectories; recursive least squares filter; temporal periodicity constraint; spatial smoothness constraint; final estimate; implanted marker motion; shape-based filtered trajectory estimates; phase-contrast enhanced trajectory estimates; canine heart MR images VL - 0 JA - Computer Vision, IEEE International Conference on ER -

J.C. McEachen, II, Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA

F.G. Meyer, Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA

R. Todd Constable, Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA

A. Nehorai, Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA

J.S. Duncan, Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466876

A framework for tracking pointwise periodic non-rigid motion of the heart's left ventricular (LV) wall is presented which incorporates information from two different magnetic resonance imaging (MRI) techniques. New developments in phase-contrast cine MR imaging have produced spatial maps of instantaneous velocity that heave proven accuracy within the myocardium, or wall, of the heart. This information is combined with shape-based matching techniques to provide improved estimates of trajectories, especially in regions where shape information is limited. These raw trajectories act as input to a recursive least squares (RLS) filter which applies the constraints of temporal periodicity and spatial smoothness for the final estimate. The results of the RLS filter are compared with the motion of actual implanted markers. Comparisons are also made between exclusively shape-based filtered and phase-contrast enhanced trajectory estimates using both phantom and actual canine heart MR images.

Index Terms:

biomedical NMR; cardiology; tracking filters; recursive filters; motion estimation; image matching; least squares approximations; medical image processing; phase velocity assisted shape-based tracking; cardiac nonrigid motion; pointwise periodic nonrigid motion tracking; heart left ventricular wall; magnetic resonance imaging techniques; phase-contrast cine MR imaging; spatial maps; instantaneous velocity; myocardium; shape-based matching techniques; trajectory estimation; shape information; raw trajectories; recursive least squares filter; temporal periodicity constraint; spatial smoothness constraint; final estimate; implanted marker motion; shape-based filtered trajectory estimates; phase-contrast enhanced trajectory estimates; canine heart MR images

Citation:

J.C. McEachen, II, F.G. Meyer, R. Todd Constable, A. Nehorai, J.S. Duncan, "A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motion," iccv, pp.653, Fifth International Conference on Computer Vision (ICCV'95), 1995

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