Literature DB >> 12892332

Myocardial kinematics from tagged MRI based on a 4-D B-spline model.

Nicholas J Tustison1, Victor G Dávila-Román, Amir A Amini.   

Abstract

Current research investigating the modeling of left ventricular dynamics for accurate clinical assessment of cardiac function is extensive. Magnetic resonance (MR) tagging is a functional imaging method which allows for encoding of a grid of signal voids on cardiac MR images, providing a mechanism for noninvasive measurement of intramural tissue deformations, in vivo. We present a novel technique of employing a four-dimensional (4-D) B-spline model which permits concurrent determination of myocardial beads and myocardial strains. The method entails fitting the knot planes of the 4-D B-spline model for fixed times to a sequence of triplets of orthogonal sets of tag surfaces for all imaged volumetric frames within the constraints of the model's spatio-temporal internal energy. From a three-dimensional (3-D) displacement field, the corresponding long and short-axis Lagrangian normal, shear, and principal strain maps are produced. As an important byproduct, the points defined by the 3-D intersections of the triplets of orthogonal tag planes, which we refer to as myocardial beads, can easily be determined by our model. Displaying the beads as a movie loop allows for the visualization of the nonrigid movement of the left ventricle in 3-D.

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Year:  2003        PMID: 12892332     DOI: 10.1109/TBME.2003.814530

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

1.  [Myocardial MR tagging: analysis of regional and global myocardial function].

Authors:  U Kramer; A Hennemuth; M Fenchel
Journal:  Radiologe       Date:  2010-06       Impact factor: 0.635

Review 2.  Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications.

Authors:  El-Sayed H Ibrahim
Journal:  J Cardiovasc Magn Reson       Date:  2011-07-28       Impact factor: 5.364

Review 3.  Quantification of regional myocardial wall motion by cardiovascular magnetic resonance.

Authors:  Kai Jiang; Xin Yu
Journal:  Quant Imaging Med Surg       Date:  2014-10

4.  Internal three-dimensional strains in human intervertebral discs under axial compression quantified noninvasively by magnetic resonance imaging and image registration.

Authors:  Jonathon H Yoder; John M Peloquin; Gang Song; Nick J Tustison; Sung M Moon; Alexander C Wright; Edward J Vresilovic; James C Gee; Dawn M Elliott
Journal:  J Biomech Eng       Date:  2014-11       Impact factor: 2.097

5.  Estimating dense cardiac 3D motion using sparse 2D tagged MRI cross-sections.

Authors:  Siamak Ardekani; Geoffrey Gunter; Saurabh Jain; Robert G Weiss; Michael I Miller; Laurent Younes
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

6.  Four-dimensional (4D) motion detection to correct respiratory effects in treatment response assessment using molecular imaging biomarkers.

Authors:  Eduard Schreibmann; Ian Crocker; David M Schuster; Walter J Curran; Tim Fox
Journal:  Technol Cancer Res Treat       Date:  2013-08-31

7.  A 4D continuous representation of myocardial velocity fields from tissue phase mapping magnetic resonance imaging.

Authors:  Bård A Bendiksen; Gary McGinley; Ivar Sjaastad; Lili Zhang; Emil K S Espe
Journal:  PLoS One       Date:  2021-03-01       Impact factor: 3.240

8.  Application of Hyperelastic-based Active Mesh Model in Cardiac Motion Recovery.

Authors:  Hossein Yousefi-Banaem; Saeed Kermani; Alireza Daneshmehr; Hamid Saneie
Journal:  J Med Signals Sens       Date:  2016 Jul-Sep
  8 in total

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