3-D Single Breath-hold Shear Strain Estimation for Improved Breast Lesion Detection and Classification in Automated Volumetric Ultrasound Scanners

Gijs A.G.M. Hendriks, Chuan Chen, Hendrik H.G. Hansen, Chris L. de Korte (Corresponding Author)

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Automated breast volume scanner (ABVS) is an ultrasound imaging modality used in breast cancer screening. It has high sensitivity but limited specificity as it is hard to discriminate between benign and malignant lesions by echogenic properties. Specificity might be improved by shear strain imaging as malignant lesions, firmly-bonded to its host tissue, show different shear patterns compared to benign lesions, often loosely-bonded. Therefore, 3-D quasi-static elastography was implemented in an ABVS-like system. Plane-wave instead of conventional focussed transmissions were used to reduce scantimes within a single breath-hold. 3-D strain tensor was obtained and shear strains were reconstructed in phantoms containing firmly- and loosely-bonded lesions. Experiments were also simulated in finite-element-models (FEM). Experimental results, confirmed by FEM-results, indicated that loosely-bonded lesions showed increased maximal shear strains (~ 2.5%) and different shear patterns compared to firmly-bonded lesions (~ 0.9%). To conclude, we successfully implemented 3-D elastography in an ABVS-like system to assess lesion bonding by shear strain imaging.

LanguageEnglish
Pages1590-1599
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume65
Issue number9
DOIs
Publication statusPublished - Sep 2018

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shear strain
Shear strain
breast
lesions
scanners
Ultrasonics
Imaging techniques
Tensors
Screening
shear
Tissue
plane waves
screening
cancer
tensors
Experiments
sensitivity

Keywords

  • Hybride overig
  • Breast
  • Automated Breast Volume Scanner
  • Cancer
  • Elastography
  • Lesions
  • Plane wave
  • Quasi-static elastography
  • Shear strain
  • Strain
  • Ultrasonic imaging
  • Ultrasound

Cite this

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title = "3-D Single Breath-hold Shear Strain Estimation for Improved Breast Lesion Detection and Classification in Automated Volumetric Ultrasound Scanners",
abstract = "Automated breast volume scanner (ABVS) is an ultrasound imaging modality used in breast cancer screening. It has high sensitivity but limited specificity as it is hard to discriminate between benign and malignant lesions by echogenic properties. Specificity might be improved by shear strain imaging as malignant lesions, firmly-bonded to its host tissue, show different shear patterns compared to benign lesions, often loosely-bonded. Therefore, 3-D quasi-static elastography was implemented in an ABVS-like system. Plane-wave instead of conventional focussed transmissions were used to reduce scantimes within a single breath-hold. 3-D strain tensor was obtained and shear strains were reconstructed in phantoms containing firmly- and loosely-bonded lesions. Experiments were also simulated in finite-element-models (FEM). Experimental results, confirmed by FEM-results, indicated that loosely-bonded lesions showed increased maximal shear strains (~ 2.5{\%}) and different shear patterns compared to firmly-bonded lesions (~ 0.9{\%}). To conclude, we successfully implemented 3-D elastography in an ABVS-like system to assess lesion bonding by shear strain imaging.",
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3-D Single Breath-hold Shear Strain Estimation for Improved Breast Lesion Detection and Classification in Automated Volumetric Ultrasound Scanners. / Hendriks, Gijs A.G.M.; Chen, Chuan; Hansen, Hendrik H.G.; de Korte, Chris L. (Corresponding Author).

In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 65, No. 9, 09.2018, p. 1590-1599.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - de Korte, Chris L.

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