Paper Info
Title
Deformable B-solids and implicit snakes for 3D localization and tracking of SPAMM MRI data
Abstract
Abstract To date, MRI-SPAMM data from different image slices have been analyzed independently. In this paper, we propose an approach,for 3D tag localization and tracking of SPAMM data by a novel deformable,B-solid. The solid is defined in terms of a 3D tensor product B-spline. The isoparametric curves of the B-spline solid have special import - ance. These are termed implicit snakes as they deform under image,forces from tag lines in different image,slices. The localization and tracking of tag lines is performed,under constraints of continuity and smoothness,of the B-solid . The framework unifies the problems of localization, and displacement,fitting and interpolation into the same procedure utilizing B-spline bases for interpolation. To track motio n from boundaries,and restrict image forces to the myocardium, a volumetric model is employed as a pair of coupled endocardial,and epicardial B-spline surfaces. To recover deformations,in the LV an energy-minimization problem is posed where both tag and LV boundary,data are used. The framework,has been implemented,on tag data from Short Axis (SA) cardiac images, as well as SA left ventricle (LV) boundaries, and is currently being extended to include Long Axis (LA) data.
Year
DOI
Venue
1997
10.1006/cviu.1997.0611
Computer Vision and Image Understanding
Keywords
Field
DocType
deformable b-solids,implicit snake,spamm mri data,energy minimization,tensor product
Tensor product,Spline (mathematics),Computer vision,Edge detection,Computational geometry,Interpolation,Image processing,Algorithm,Artificial intelligence,Smoothness,Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
66
2
Computer Vision and Image Understanding
Citations 
PageRank 
References 
38
4.67
10
Authors
3
Name
Order
Citations
PageRank
Petia Radeva11684153.53
Amir A. Amini244363.30
Jiantao Huang3405.99