Literature DB >> 17926687

Simulation of mechanical compression of breast tissue.

Albert L Kellner1, Thomas R Nelson, Laura I Cerviño, John M Boone.   

Abstract

Comparison of uncompressed volumetric breast data to compressed projection mammographic data poses a variety of challenges to accurately localize anatomy in both data sets. This work presents a method for simulating the mechanical compression of volumetric breast data. We use an approach based on a rectilinear-grid finite-element mesh and apply the method to known objects including volumetric breast data. Overall results show good agreement with theory and reasonable qualitative agreement with clinical results. Analysis times are sufficiently short to be used in the clinical setting for data comparison. The methods presented here provide a high quality method for simulating mechanical compression of breast data.

Mesh:

Year:  2007        PMID: 17926687     DOI: 10.1109/TBME.2007.893493

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  14 in total

1.  An analysis of the mechanical parameters used for finite element compression of a high-resolution 3D breast phantom.

Authors:  Christina M L Hsu; Mark L Palmeri; W Paul Segars; Alexander I Veress; James T Dobbins
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

2.  Breast dose in mammography is about 30% lower when realistic heterogeneous glandular distributions are considered.

Authors:  Andrew M Hernandez; J Anthony Seibert; John M Boone
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

3.  A general method for cupping artifact correction of cone-beam breast computed tomography images.

Authors:  Xiaolei Qu; Chao-Jen Lai; Yuncheng Zhong; Ying Yi; Chris C Shaw
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-10-29       Impact factor: 2.924

4.  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

Review 5.  Deformable medical image registration: a survey.

Authors:  Aristeidis Sotiras; Christos Davatzikos; Nikos Paragios
Journal:  IEEE Trans Med Imaging       Date:  2013-05-31       Impact factor: 10.048

6.  Characterization of the homogeneous tissue mixture approximation in breast imaging dosimetry.

Authors:  Ioannis Sechopoulos; Kristina Bliznakova; Xulei Qin; Baowei Fei; Steve Si Jia Feng
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

7.  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

8.  Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation.

Authors:  Gregory M Sturgeon; Nooshin Kiarashi; Joseph Y Lo; E Samei; W P Segars
Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

9.  Validation of a method for measuring the volumetric breast density from digital mammograms.

Authors:  O Alonzo-Proulx; N Packard; J M Boone; A Al-Mayah; K K Brock; S Z Shen; M J Yaffe
Journal:  Phys Med Biol       Date:  2010-05-12       Impact factor: 3.609

Review 10.  Growth control by intracellular tension and extracellular stiffness.

Authors:  Richard K Assoian; Eric A Klein
Journal:  Trends Cell Biol       Date:  2008-05-29       Impact factor: 20.808

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