Literature DB >> 10870713

Visualization and quantification of breast cancer biomechanical properties with magnetic resonance elastography.

D B Plewes1, J Bishop, A Samani, J Sciarretta.   

Abstract

A quasistatic magnetic resonance elastography (MRE) method for the evaluation of breast cancer is proposed. Using a phase contrast, stimulated echo MRI approach, strain imaging in phantoms and volunteers is presented. First-order assessment of tissue biomechanical properties based on inverse strain mapping is outlined and demonstrated. The accuracy of inverse strain imaging is studied through simulations in a two-dimensional model and in an anthropomorphic, three-dimensional finite-element model of the breast. To improve the accuracy of modulus assessment by elastography, inverse methods are discussed as an extension to strain imaging, and simulations quantify MRE in terms of displacement signal/noise required for robust inversion. A direct inversion strategy providing information on tissue modulus and pressure distribution is described along with a novel iterative method utilizing a priori knowledge of tissue geometry. It is shown that through the judicious choice of information from previous contrast-enhanced MRI breast images, MRE data acquisition requirements can be significantly reduced while maintaining robust modulus reconstruction in the presence of strain noise. An experimental apparatus for clinical breast MRE and preliminary images of a normal volunteer are presented.

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Year:  2000        PMID: 10870713     DOI: 10.1088/0031-9155/45/6/314

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  60 in total

1.  Ultrasound elastography based on multiscale estimations of regularized displacement fields.

Authors:  Claire Pellot-Barakat; Frédérique Frouin; Michael F Insana; Alain Herment
Journal:  IEEE Trans Med Imaging       Date:  2004-02       Impact factor: 10.048

Review 2.  General review of magnetic resonance elastography.

Authors:  Gavin Low; Scott A Kruse; David J Lomas
Journal:  World J Radiol       Date:  2016-01-28

3.  Frequency-dependent viscoelastic parameters of mouse brain tissue estimated by MR elastography.

Authors:  E H Clayton; J R Garbow; P V Bayly
Journal:  Phys Med Biol       Date:  2011-03-22       Impact factor: 3.609

4.  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

5.  Tissue-mimicking agar/gelatin materials for use in heterogeneous elastography phantoms.

Authors:  Ernest L Madsen; Maritza A Hobson; Hairong Shi; Tomy Varghese; Gary R Frank
Journal:  Phys Med Biol       Date:  2005-11-16       Impact factor: 3.609

6.  Ultrasonic tracking of acoustic radiation force-induced displacements in homogeneous media.

Authors:  Mark L Palmeri; Stephen A McAleavey; Gregg E Trahey; Kathryn R Nightingale
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2006-07       Impact factor: 2.725

7.  Normal and shear strain estimation using beam steering on linear-array transducers.

Authors:  M Rao; Q Chen; H Shi; T Varghese; E L Madsen; J A Zagzebski; T A Wilson
Journal:  Ultrasound Med Biol       Date:  2007-01       Impact factor: 2.998

8.  Spatially-resolved hydraulic conductivity estimation via poroelastic magnetic resonance elastography.

Authors:  Adam J Pattison; Matthew McGarry; John B Weaver; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2014-03-18       Impact factor: 10.048

9.  Blood flow reduction in breast tissue due to mammographic compression.

Authors:  David R Busch; Regine Choe; Turgut Durduran; Daniel H Friedman; Wesley B Baker; Andrew D Maidment; Mark A Rosen; Mitchell D Schnall; Arjun G Yodh
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

Review 10.  Abdominal magnetic resonance elastography.

Authors:  Meng Yin; Jun Chen; Kevin J Glaser; Jayant A Talwalkar; Richard L Ehman
Journal:  Top Magn Reson Imaging       Date:  2009-04
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