Simulation of mechanical compression of breast tissue

Albert L. Kellner; Thomas R. Nelson; Laura I. Cerviño; John M Boone

doi:10.1109/TBME.2007.893493

Simulation of mechanical compression of breast tissue

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

Radiology

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1885-1891
Number of pages	7
Journal	IEEE Transactions on Biomedical Engineering
Volume	54
Issue number	10
DOIs	https://doi.org/10.1109/TBME.2007.893493
State	Published - Oct 2007

Keywords

Breast
Compression
Computed tomography
Finite-element analysis

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/TBME.2007.893493

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title = "Simulation of mechanical compression of breast tissue",

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.",

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AU - Boone, John M

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KW - Compression

KW - Computed tomography

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