Automated palpation for breast tissue discrimination based on viscoelastic biomechanical properties

Mariko Tsukune*, Yo Kobayashi, Tomoyuki Miyashita, G. Masakatsu Fujie

*この研究の対応する著者

研究成果: Article査読

2 被引用数 (Scopus)

抄録

Purpose : Accurate, noninvasive methods are sought for breast tumor detection and diagnosis. In particular, a need for noninvasive techniques that measure both the nonlinear elastic and viscoelastic properties of breast tissue has been identified. For diagnostic purposes, it is important to select a nonlinear viscoelastic model with a small number of parameters that highly correlate with histological structure. However, the combination of conventional viscoelastic models with nonlinear elastic models requires a large number of parameters. A nonlinear viscoelastic model of breast tissue based on a simple equation with few parameters was developed and tested. Methods : The nonlinear viscoelastic properties of soft tissues in porcine breast were measured experimentally using fresh ex vivo samples. Robotic palpation was used for measurements employed in a finite element model. These measurements were used to calculate nonlinear viscoelastic parameters for fat, fibroglandular breast parenchyma and muscle. The ability of these parameters to distinguish the tissue types was evaluated in a two-step statistical analysis that included Holm’s pairwise $$t$$t test. The discrimination error rate of a set of parameters was evaluated by the Mahalanobis distance. Results : Ex vivo testing in porcine breast revealed significant differences in the nonlinear viscoelastic parameters among combinations of three tissue types. The discrimination error rate was low among all tested combinations of three tissue types. Conclusion : Although tissue discrimination was not achieved using only a single nonlinear viscoelastic parameter, a set of four nonlinear viscoelastic parameters were able to reliably and accurately discriminate fat, breast fibroglandular tissue and muscle.

本文言語English
ページ(範囲)593-601
ページ数9
ジャーナルInternational Journal of Computer Assisted Radiology and Surgery
10
5
DOI
出版ステータスPublished - 2015 5月 1

ASJC Scopus subject areas

  • 外科
  • 生体医工学
  • 放射線学、核医学およびイメージング
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学
  • コンピュータ サイエンスの応用
  • コンピュータ グラフィックスおよびコンピュータ支援設計

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