Biventricular myocardial kinematics based on tagged MRI from anatomical NURBS models

N. J. Tustison; D. Abendschein; A. A. Amini

Biventricular myocardial kinematics based on tagged MRI from anatomical NURBS models

N. J. Tustison, D. Abendschein, A. A. Amini

Division of Cardiology

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

Abstract

We present current research in which both left and right ventricular deformation is estimated from tagged cardiac magnetic resonance imaging using volumetric deformable models with a nonuniform rational B-splines (NURBS) basis. From a set of short and long axis images, the initial NURBS model is constructed by fitting two surfaces with the same parameterization to the set of epicardial and endocardial contours from which a volumetric model is created. Using displacement information derived from tag line and contour data, we can solve for the optimal homogeneous coordinates, in a least-squares sense, of the NURBS model at a later time point using quadratic programming. After fitting to all time points of data, lofting the NURBS model for each time point creates a comprehensive 4-D NURBS model. From this model 3-D myocardial displacement fields and corresponding strain maps, which are local measures of nonrigid deformation, become available.

Original language	English
Pages (from-to)	II514-II519
Journal	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	2
State	Published - Oct 19 2004
Event	Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004 - Washington, DC, United States Duration: Jun 27 2004 → Jul 2 2004

Cite this

@article{33258d71df154eba80b813f0dbbb06ad,

title = "Biventricular myocardial kinematics based on tagged MRI from anatomical NURBS models",

abstract = "We present current research in which both left and right ventricular deformation is estimated from tagged cardiac magnetic resonance imaging using volumetric deformable models with a nonuniform rational B-splines (NURBS) basis. From a set of short and long axis images, the initial NURBS model is constructed by fitting two surfaces with the same parameterization to the set of epicardial and endocardial contours from which a volumetric model is created. Using displacement information derived from tag line and contour data, we can solve for the optimal homogeneous coordinates, in a least-squares sense, of the NURBS model at a later time point using quadratic programming. After fitting to all time points of data, lofting the NURBS model for each time point creates a comprehensive 4-D NURBS model. From this model 3-D myocardial displacement fields and corresponding strain maps, which are local measures of nonrigid deformation, become available.",

author = "Tustison, {N. J.} and D. Abendschein and Amini, {A. A.}",

year = "2004",

month = oct,

day = "19",

language = "English",

volume = "2",

pages = "II514--II519",

journal = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

issn = "1063-6919",

note = "Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004 ; Conference date: 27-06-2004 Through 02-07-2004",

}

TY - JOUR

T1 - Biventricular myocardial kinematics based on tagged MRI from anatomical NURBS models

AU - Tustison, N. J.

AU - Abendschein, D.

AU - Amini, A. A.

PY - 2004/10/19

Y1 - 2004/10/19

N2 - We present current research in which both left and right ventricular deformation is estimated from tagged cardiac magnetic resonance imaging using volumetric deformable models with a nonuniform rational B-splines (NURBS) basis. From a set of short and long axis images, the initial NURBS model is constructed by fitting two surfaces with the same parameterization to the set of epicardial and endocardial contours from which a volumetric model is created. Using displacement information derived from tag line and contour data, we can solve for the optimal homogeneous coordinates, in a least-squares sense, of the NURBS model at a later time point using quadratic programming. After fitting to all time points of data, lofting the NURBS model for each time point creates a comprehensive 4-D NURBS model. From this model 3-D myocardial displacement fields and corresponding strain maps, which are local measures of nonrigid deformation, become available.

AB - We present current research in which both left and right ventricular deformation is estimated from tagged cardiac magnetic resonance imaging using volumetric deformable models with a nonuniform rational B-splines (NURBS) basis. From a set of short and long axis images, the initial NURBS model is constructed by fitting two surfaces with the same parameterization to the set of epicardial and endocardial contours from which a volumetric model is created. Using displacement information derived from tag line and contour data, we can solve for the optimal homogeneous coordinates, in a least-squares sense, of the NURBS model at a later time point using quadratic programming. After fitting to all time points of data, lofting the NURBS model for each time point creates a comprehensive 4-D NURBS model. From this model 3-D myocardial displacement fields and corresponding strain maps, which are local measures of nonrigid deformation, become available.

UR - http://www.scopus.com/inward/record.url?scp=5044235915&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:5044235915

SN - 1063-6919

VL - 2

SP - II514-II519

JO - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

JF - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

T2 - Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004

Y2 - 27 June 2004 through 2 July 2004

ER -

Biventricular myocardial kinematics based on tagged MRI from anatomical NURBS models

Abstract

Other files and links

Fingerprint

Cite this