Literature DB >> 25157446

Meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI.

Xiaoxu Wang1, Ting Chen2, Shaoting Zhang3, Joël Schaerer4, Zhen Qian3, Suejung Huh3, Dimitris Metaxas3, Leon Axel2.   

Abstract

Tagged magnetic resonance imaging (TMRI) provides a direct and noninvasive way to visualize the in-wall deformation of the myocardium. Due to the through-plane motion, the tracking of 3D trajectories of the material points and the computation of 3D strain field call for the necessity of building 3D cardiac deformable models. The intersections of three stacks of orthogonal tagging planes are material points in the myocardium. With these intersections as control points, 3D motion can be reconstructed with a novel meshless deformable model (MDM). Volumetric MDMs describe an object as point cloud inside the object boundary and the coordinate of each point can be written in parametric functions. A generic heart mesh is registered on the TMRI with polar decomposition. A 3D MDM is generated and deformed with MR image tagging lines. Volumetric MDMs are deformed by calculating the dynamics function and minimizing the local Laplacian coordinates. The similarity transformation of each point is computed by assuming its neighboring points are making the same transformation. The deformation is computed iteratively until the control points match the target positions in the consecutive image frame. The 3D strain field is computed from the 3D displacement field with moving least squares. We demonstrate that MDMs outperformed the finite element method and the spline method with a numerical phantom. Meshless deformable models can track the trajectory of any material point in the myocardium and compute the 3D strain field of any particular area. The experimental results on in vivo healthy and patient heart MRI show that the MDM can fully recover the myocardium motion in three dimensions.
Copyright © 2014. Published by Elsevier Inc.

Entities:  

Keywords:  Cardiac; Deformable models; MRI; Motion tracking; Strain

Mesh:

Year:  2014        PMID: 25157446      PMCID: PMC4876045          DOI: 10.1016/j.mri.2014.08.007

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  39 in total

1.  Model tags: direct three-dimensional tracking of heart wall motion from tagged magnetic resonance images.

Authors:  A A Young
Journal:  Med Image Anal       Date:  1999-12       Impact factor: 8.545

2.  Spatio-temporal tracking of myocardial deformations with a 4-D B-spline model from tagged MRI.

Authors:  J Huang; D Abendschein; V G Dávila-Román; A A Amini
Journal:  IEEE Trans Med Imaging       Date:  1999-10       Impact factor: 10.048

3.  Fast tracking of cardiac motion using 3D-HARP.

Authors:  Li Pan; Jerry L Prince; João A C Lima; Nael F Osman
Journal:  IEEE Trans Biomed Eng       Date:  2005-08       Impact factor: 4.538

4.  A boundary element-based approach to analysis of LV deformation.

Authors:  Ping Yan; Ning Lin; Albert J Sinusas; James S Duncan
Journal:  Med Image Comput Comput Assist Interv       Date:  2005

5.  Deformable models with parameter functions for cardiac motion analysis from tagged MRI data.

Authors:  J Park; D Metaxas; A A Young; L Axel
Journal:  IEEE Trans Med Imaging       Date:  1996       Impact factor: 10.048

6.  Metamorphs: deformable shape and appearance models.

Authors:  Xiaolei Huang; Dimitris N Metaxas
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2008-08       Impact factor: 6.226

7.  A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysis.

Authors:  T McInerney; D Terzopoulos
Journal:  Comput Med Imaging Graph       Date:  1995 Jan-Feb       Impact factor: 4.790

8.  3D left ventricular strain from unwrapped harmonic phase measurements.

Authors:  Bharath Ambale Venkatesh; Himanshu Gupta; Steven G Lloyd; Louis Dell 'Italia; Thomas S Denney
Journal:  J Magn Reson Imaging       Date:  2010-04       Impact factor: 4.813

9.  Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function.

Authors:  Vicky Y Wang; H I Lam; Daniel B Ennis; Brett R Cowan; Alistair A Young; Martyn P Nash
Journal:  Med Image Anal       Date:  2009-07-16       Impact factor: 8.545

10.  Automated 3D motion tracking using Gabor filter bank, robust point matching, and deformable models.

Authors:  Ting Chen; Xiaoxu Wang; Sohae Chung; Dimitris Metaxas; Leon Axel
Journal:  IEEE Trans Med Imaging       Date:  2009-04-14       Impact factor: 10.048

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  2 in total

1.  A Meshfree Representation for Cardiac Medical Image Computing.

Authors:  Heye Zhang; Zhifan Gao; Lin Xu; Xingjian Yu; Ken C L Wong; Huafeng Liu; Ling Zhuang; Pengcheng Shi
Journal:  IEEE J Transl Eng Health Med       Date:  2018-01-18       Impact factor: 3.316

Review 2.  Mechanobiology of myofibroblast adhesion in fibrotic cardiac disease.

Authors:  Alison K Schroer; W David Merryman
Journal:  J Cell Sci       Date:  2015-04-27       Impact factor: 5.285

  2 in total

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