Literature DB >> 15377121

Modality independent elastography (MIE): a new approach to elasticity imaging.

Chad W Washington1, Michael I Miga.   

Abstract

The correlation between tissue stiffness and health is an accepted form of organ disease assessment. As a result, there has been a significant amount of interest in developing methods to image elasticity parameters (i.e., elastography). The modality independent elastography (MIE) method combines a nonlinear optimization framework, computer models of soft-tissue deformation, and standard measures of image similarity to reconstruct elastic property distributions within soft tissue. In this paper, simulation results demonstrate successful elasticity image reconstructions in breast cross-sectional images acquired from magnetic resonance (MR) imaging. Results from phantom experiments illustrate its modality independence by reconstructing elasticity images of the same phantom in both MR and computed tomographic imaging units. Additional results regarding the performance of a new multigrid strategy to MIE and the implementation of a parallel architecture are also presented.

Mesh:

Year:  2004        PMID: 15377121     DOI: 10.1109/TMI.2004.830532

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


  9 in total

1.  An inverse problem approach for elasticity imaging through vibroacoustics.

Authors:  Miguel A Aguiló; Wilkins Aquino; John C Brigham; Mostafa Fatemi
Journal:  IEEE Trans Med Imaging       Date:  2010-03-22       Impact factor: 10.048

2.  Prostate mechanical imaging: 3-D image composition and feature calculations.

Authors:  Vladimir Egorov; Suren Ayrapetyan; Armen P Sarvazyan
Journal:  IEEE Trans Med Imaging       Date:  2006-10       Impact factor: 10.048

3.  Development of a mechanical testing assay for fibrotic murine liver.

Authors:  Stephanie L Barnes; Andrej Lyshchik; Mary K Washington; John C Gore; Michael I Miga
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

4.  Assessing the accuracy and reproducibility of modality independent elastography in a murine model of breast cancer.

Authors:  Jared A Weis; Katelyn M Flint; Violeta Sanchez; Thomas E Yankeelov; Michael I Miga
Journal:  J Med Imaging (Bellingham)       Date:  2015-07-02

5.  Finite element modelling and validation for breast cancer detection using digital image elasto-tomography.

Authors:  Hina M Ismail; Chris G Pretty; Matthew K Signal; Marcus Haggers; J Geoffrey Chase
Journal:  Med Biol Eng Comput       Date:  2018-03-10       Impact factor: 2.602

6.  Simulation-based joint estimation of body deformation and elasticity parameters for medical image analysis.

Authors:  Huai-Ping Lee; Mark Foskey; Marc Niethammer; Pavel Krajcevski; Ming Lin
Journal:  IEEE Trans Med Imaging       Date:  2012-08-08       Impact factor: 10.048

7.  Non-rigid registration of breast surfaces using the laplace and diffusion equations.

Authors:  Rowena E Ong; Jao J Ou; Michael I Miga
Journal:  Biomed Eng Online       Date:  2010-02-12       Impact factor: 2.819

8.  A finite element inverse analysis to assess functional improvement during the fracture healing process.

Authors:  Jared A Weis; Michael I Miga; Froilán Granero-Moltó; Anna Spagnoli
Journal:  J Biomech       Date:  2009-10-28       Impact factor: 2.712

9.  Mechanical imaging of the breast.

Authors:  Vladimir Egorov; Armen P Sarvazyan
Journal:  IEEE Trans Med Imaging       Date:  2008-09       Impact factor: 10.048

  9 in total

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