Literature DB >> 18979800

LV motion and strain computation from tMRI based on meshless deformable models.

Xiaoxu Wang1, Ting Chen, Shaoting Zhang, Dimitris Metaxas, Leon Axel.   

Abstract

We propose a novel meshless deformable model for in vivo Left Ventricle (LV) 3D motion estimation and analysis based on tagged MRI (tMRI). The meshless deformable model can capture global deformations such as contraction and torsion with a few parameters, while track local deformations with Laplacian representation. In particular, the model performs well even when the control points (tag intersections) are relatively sparse. We test the performance of the meshless model on a numeric phantom, as well as in vivo heart data of healthy subjects and patients. The experimental results show that the meshless deformable model can fully recover the myocardial motion and strain in 3D.

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Year:  2008        PMID: 18979800     DOI: 10.1007/978-3-540-85988-8_76

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  4 in total

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

Authors:  Xiaoxu Wang; Ting Chen; Shaoting Zhang; Joël Schaerer; Zhen Qian; Suejung Huh; Dimitris Metaxas; Leon Axel
Journal:  Magn Reson Imaging       Date:  2014-08-23       Impact factor: 2.546

2.  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

3.  Deformable models with sparsity constraints for cardiac motion analysis.

Authors:  Yang Yu; Shaoting Zhang; Kang Li; Dimitris Metaxas; Leon Axel
Journal:  Med Image Anal       Date:  2014-03-27       Impact factor: 8.545

4.  3D cardiac motion reconstruction from CT data and tagged MRI.

Authors:  Xiaoxu Wang; Viorel Mihalef; Zhen Qian; Szilard Voros; Dimitris Metaxas
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012
  4 in total

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