Title
Parameter distribution models for estimation of population based left ventricular deformation using sparse fiducial markers.
Abstract
We present a method to estimate left ventricular (LV) motion based on three-dimensional (3-D) images that can be derived from any anatomical tomographic or 3-D modality, such as echocardiography, computed tomography, or magnetic resonance imaging. A finite element mesh of the LV was constructed to fit the geometry of the wall. The mesh was deformed by optimizing the nodal parameters to the motion ...
Year
DOI
Venue
2005
10.1109/TMI.2004.842458
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Deformable models,Tagging,Motion estimation,Echocardiography,Computed tomography,Magnetic resonance imaging,Finite element methods,Geometry,Tracking,Image databases
Iterative reconstruction,Population,Computer vision,Fiducial marker,Free-form deformation,Artificial intelligence,Cardiac cycle,Deformation (mechanics),Motion estimation,Mesh generation,Mathematics
Journal
Volume
Issue
ISSN
24
3
0278-0062
Citations 
PageRank 
References 
5
0.54
6
Authors
4
Name
Order
Citations
PageRank
Espen W. Remme161.35
Kevin F. Augenstein2101.20
Alistair A. Young343353.11
Hunter P J41352177.64