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Comparison between the results of simulated mechanical imaging on software breast phantom and in vivo measurements

Markbo, John Henry LU orcid ; Bakic, Predrag R. LU ; Isaksson, Hanna LU orcid ; Johnson, Kristin LU orcid and Dustler, Magnus LU orcid (2026) In Radiation Protection Dosimetry 202(3-4). p.314-318
Abstract

The focus of this study was to evaluate the feasibility of incorporating Perlin noise, a method that has previously been used to model the tissue distribution of software breast phantoms, when creating a ‘compressible’ software breast phantom used in finite element analysis. Several compressible phantoms were created to represent different stages of aging in a virtual patient when younger, fibroglandular tissue is more prevalent than adipose tissue. During the ageing process, this ratio changes so that the breast contains more adipose tissue and less fibroglandular tissue. When simulating the compression of these phantoms, the determined reaction forces on the simulated compression plate increase with higher breast density. The... (More)

The focus of this study was to evaluate the feasibility of incorporating Perlin noise, a method that has previously been used to model the tissue distribution of software breast phantoms, when creating a ‘compressible’ software breast phantom used in finite element analysis. Several compressible phantoms were created to represent different stages of aging in a virtual patient when younger, fibroglandular tissue is more prevalent than adipose tissue. During the ageing process, this ratio changes so that the breast contains more adipose tissue and less fibroglandular tissue. When simulating the compression of these phantoms, the determined reaction forces on the simulated compression plate increase with higher breast density. The resulting reaction forces on the compression plates are well above the values from in vivo measurements performed by our research group. However, when considering the differences between the procedures in the two studies, the simulated results are arguably comparable to the in vivo measurements.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Radiation Protection Dosimetry
volume
202
issue
3-4
pages
5 pages
publisher
Oxford University Press
external identifiers
  • pmid:41821446
  • scopus:105032810159
ISSN
0144-8420
DOI
10.1093/rpd/ncaf178
language
English
LU publication?
yes
id
baf4a86b-eafd-4727-a37a-ec9d0ee4e48b
date added to LUP
2026-05-04 13:44:49
date last changed
2026-07-29 02:16:21
@article{baf4a86b-eafd-4727-a37a-ec9d0ee4e48b,
  abstract     = {{<p>The focus of this study was to evaluate the feasibility of incorporating Perlin noise, a method that has previously been used to model the tissue distribution of software breast phantoms, when creating a ‘compressible’ software breast phantom used in finite element analysis. Several compressible phantoms were created to represent different stages of aging in a virtual patient when younger, fibroglandular tissue is more prevalent than adipose tissue. During the ageing process, this ratio changes so that the breast contains more adipose tissue and less fibroglandular tissue. When simulating the compression of these phantoms, the determined reaction forces on the simulated compression plate increase with higher breast density. The resulting reaction forces on the compression plates are well above the values from in vivo measurements performed by our research group. However, when considering the differences between the procedures in the two studies, the simulated results are arguably comparable to the in vivo measurements.</p>}},
  author       = {{Markbo, John Henry and Bakic, Predrag R. and Isaksson, Hanna and Johnson, Kristin and Dustler, Magnus}},
  issn         = {{0144-8420}},
  language     = {{eng}},
  month        = {{03}},
  number       = {{3-4}},
  pages        = {{314--318}},
  publisher    = {{Oxford University Press}},
  series       = {{Radiation Protection Dosimetry}},
  title        = {{Comparison between the results of simulated mechanical imaging on software breast phantom and in vivo measurements}},
  url          = {{http://dx.doi.org/10.1093/rpd/ncaf178}},
  doi          = {{10.1093/rpd/ncaf178}},
  volume       = {{202}},
  year         = {{2026}},
}