Simulation of mechanical compression of breast tissue.

Simulation of mechanical compression of breast tissue. Research Abstract Details 

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Simulation of mechanical compression of breast tissue. Abstract Text:

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

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.

Simulation of mechanical compression of breast tissue. Publishing Authors By Initials

AL Kellner,TR Nelson,LI ,JM Boone,AL Kellner,TR Nelson,LI ,JM Boone,

For similar biomechanics: stress, mechanical research abstracts see: biomechanics: stress, mechanical research

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Simulation of mechanical compression of breast tissue. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: IEEE transactions on bio-medical engineering

VOLUME: 54

Page Numbers: 1885-91

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ISSN: 0018-9294

DAY: 3

MONTH: Oct

YEAR: 2007

Simulation of mechanical compression of breast tissue. Information

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LANGUAGE: eng

NlmUniqueID: 12737

Simulation of mechanical compression of breast tissue. Keywords Mesh Terms:

KEYWORDS: Stress, Mechanical

MESH TERMS: methods

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Grant and Affiliation Information for Simulation of mechanical compression of breast tissue.

AFFILIATION: Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093-0407, USA.

Country: United States

AGENCY: United States NCI

GRANT: R01 CA89260

ACRONYM: CA

MEDLINETA: IEEE Trans Biomed Eng

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