Literature DB >> 15250638

Three-dimensional myocardial strain reconstruction from tagged MRI using a cylindrical B-spline model.

Xiang Deng1, Thomas S Denney.   

Abstract

In this paper, we present a new method for reconstructing three-dimensional (3-D) left ventricular myocardial strain from tagged magnetic resonance (MR) image data with a 3-D B-spline deformation model. The B-spline model is based on a cylindrical coordinate system that more closely fits the morphology of the myocardium than previously proposed Cartesian B-spline models and does not require explicit regularization. Our reconstruction method first fits a spatial coordinate B-spline displacement field to the tag line data. This displacement field maps each tag line point in the deformed myocardium back to its reference position (end-diastole). The spatial coordinate displacement field is then converted to material coordinates with another B-spline fit. Finally, strain is computed by analytically differentiating the material coordinate B-spline displacement field with respect to space. We tested our method with strains reconstructed from an analytically defined mathematical left ventricular deformation model and ten human imaging studies. Our results demonstrate that a quadratic cylindrical B-spline with a fixed number of control points can accurately fit a physiologically realistic range of deformations. The average 3-D reconstruction computation time is 20 seconds per time frame on a 450 MHz Sun Ultra80 workstation.

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Year:  2004        PMID: 15250638     DOI: 10.1109/TMI.2004.827961

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  7 in total

1.  Incompressible deformation estimation algorithm (IDEA) from tagged MR images.

Authors:  Xiaofeng Liu; Khaled Z Abd-Elmoniem; Maureen Stone; Emi Z Murano; Jiachen Zhuo; Rao P Gullapalli; Jerry L Prince
Journal:  IEEE Trans Med Imaging       Date:  2011-09-19       Impact factor: 10.048

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

3.  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

4.  Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation.

Authors:  Jayendra M Bhalodiya; Arnab Palit; Enzo Ferrante; Manoj K Tiwari; Sunil K Bhudia; Theodoros N Arvanitis; Mark A Williams
Journal:  Sci Rep       Date:  2019-08-28       Impact factor: 4.379

5.  Comparison study of reconstruction algorithms for volumetric necrosis maps from 2D multi-slice GRE thermometry images.

Authors:  Julian Alpers; Bennet Hensen; Maximilian Rötzer; Daniel L Reimert; Thomas Gerlach; Ralf Vick; Marcel Gutberlet; Frank Wacker; Christian Hansen
Journal:  Sci Rep       Date:  2022-07-07       Impact factor: 4.996

6.  A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data.

Authors:  Tareq Alrefae; Irina V Smirnova; Larry T Cook; Mehmet Bilgen
Journal:  Biomed Eng Online       Date:  2008-05-19       Impact factor: 2.819

7.  Image quality improvement in adaptive optics scanning laser ophthalmoscopy assisted capillary visualization using B-spline-based elastic image registration.

Authors:  Akihito Uji; Sotaro Ooto; Masanori Hangai; Shigeta Arichika; Nagahisa Yoshimura
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

  7 in total

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