Literature DB >> 9873921

Analysis of left ventricular wall motion based on volumetric deformable models and MRI-SPAMM.

J Park1, D Metaxas, L Axel.   

Abstract

We present a new approach for the analysis of the left ventricular shape and motion based on the development of a new class of volumetric deformable models. We estimate the deformation and complex motion of the left ventricle (LV) in terms of a few parameters that are functions and whose values vary locally across the LV. These parameters capture the radial and longitudinal contraction, the axial twisting, and the long-axis deformation. Using Lagrangian dynamics and finite-element theory, we convert these volumetric primitives into dynamic models that deform due to forces exerted by the datapoints. We present experiments where we used magnetic tagging (MRI-SPAMM) to acquire datapoints from the LV during systole. By applying our method to MRI-SPAMM datapoints, we were able to characterize the 3-D shape and motion of the LV both locally and globally, in a clinically useful way. In addition, based on the model parameters we were able to extract quantitative differences between normal and abnormal hearts and visualize them in a way that is useful to physicians.

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Year:  1996        PMID: 9873921     DOI: 10.1016/s1361-8415(01)80005-0

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  20 in total

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2.  Left ventricular motion reconstruction from planar tagged MR images: a comparison.

Authors:  J Declerck; T S Denney; C Oztürk; W O'Dell; E R McVeigh
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3.  Incompressible deformation estimation algorithm (IDEA) from tagged MR images.

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Journal:  IEEE Trans Med Imaging       Date:  2011-09-19       Impact factor: 10.048

4.  Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters.

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5.  Estimating Motion From MRI Data.

Authors:  Cengizhan Ozturk; J Andrew Derbyshire; Elliot R McVeigh
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2003-10       Impact factor: 10.961

Review 6.  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

7.  3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI.

Authors:  Dong Yang; Pengxiang Wu; Chaowei Tan; Kilian M Pohl; Leon Axel; Dimitris Metaxas
Journal:  Funct Imaging Model Heart       Date:  2017-05-23

8.  MCAT to XCAT: The Evolution of 4-D Computerized Phantoms for Imaging Research: Computer models that take account of body movements promise to provide evaluation and improvement of medical imaging devices and technology.

Authors:  W Paul Segars; Benjamin M W Tsui
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2009-12       Impact factor: 10.961

9.  Temporally diffeomorphic cardiac motion estimation from three-dimensional echocardiography by minimization of intensity consistency error.

Authors:  Zhijun Zhang; Muhammad Ashraf; David J Sahn; Xubo Song
Journal:  Med Phys       Date:  2014-05       Impact factor: 4.071

10.  Deformation analysis of 3D tagged cardiac images using an optical flow method.

Authors:  Chun Xu; James J Pilla; Gamaliel Isaac; Joseph H Gorman; Aaron S Blom; Robert C Gorman; Zhou Ling; Lawrence Dougherty
Journal:  J Cardiovasc Magn Reson       Date:  2010-03-30       Impact factor: 5.364

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