Literature DB >> 11585205

A constrained modulus reconstruction technique for breast cancer assessment.

A Samani1, J Bishop, D B Plewes.   

Abstract

A reconstruction technique for breast tissue elasticity modulus is described. This technique assumes that the geometry of normal and suspicious tissues is available from a contrast-enhanced magnetic resonance image. Furthermore, it is assumed that the modulus is constant throughout each tissue volume. The technique, which uses quasi-static strain data, is iterative where each iteration involves modulus updating followed by stress calculation. Breast mechanical stimulation is assumed to be done by two compressional rigid plates. As a result, stress is calculated using the finite element method based on the well-controlled boundary conditions of the compression plates. Using the calculated stress and the measured strain, modulus updating is done element-by-element based on Hooke's law. Breast tissue modulus reconstruction using simulated data and phantom modulus reconstruction using experimental data indicate that the technique is robust.

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Year:  2001        PMID: 11585205     DOI: 10.1109/42.952726

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


  17 in total

1.  A mixture theory model of fluid and solute transport in the microvasculature of normal and malignant tissues. I. Theory.

Authors:  M M Schuff; J P Gore; E A Nauman
Journal:  J Math Biol       Date:  2012-04-13       Impact factor: 2.259

2.  Classification of breast computed tomography data.

Authors:  Thomas R Nelson; Laura I Cerviño; John M Boone; Karen K Lindfors
Journal:  Med Phys       Date:  2008-03       Impact factor: 4.071

3.  Quantitative sparse array vascular elastography: the impact of tissue attenuation and modulus contrast on performance.

Authors:  Steven Huntzicker; Rohit Nayak; Marvin M Doyley
Journal:  J Med Imaging (Bellingham)       Date:  2014-07-04

4.  Cupping artifact correction and automated classification for high-resolution dedicated breast CT images.

Authors:  Xiaofeng Yang; Shengyong Wu; Ioannis Sechopoulos; Baowei Fei
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.071

5.  Elastography: general principles and clincial applications.

Authors:  M M Doyley; K J Parker
Journal:  Ultrasound Clin       Date:  2014-01

6.  Model-based elastography: a survey of approaches to the inverse elasticity problem.

Authors:  M M Doyley
Journal:  Phys Med Biol       Date:  2012-01-06       Impact factor: 3.609

7.  A minimum spanning forest based classification method for dedicated breast CT images.

Authors:  Robert Pike; Ioannis Sechopoulos; Baowei Fei
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

8.  Elastic properties of organ of Corti tissues from point-stiffness measurement and inverse analysis.

Authors:  B F Zagadou; P E Barbone; D C Mountain
Journal:  J Biomech       Date:  2014-02-20       Impact factor: 2.712

9.  Nonlinear Inversion MR Elastography With Low-Frequency Actuation.

Authors:  Wei Zeng; Scott W Gordon-Wylie; Likun Tan; Ligin Solamen; Matthew D J McGarry; John B Weaver; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2019-12-06       Impact factor: 10.048

10.  Elastography method for reconstruction of nonlinear breast tissue properties.

Authors:  Z G Wang; Y Liu; G Wang; L Z Sun
Journal:  Int J Biomed Imaging       Date:  2009-07-09
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