Using ultrasound tomography to identify the distributions of density throughout the breast

Mark Sak, Neb Duric, Peter Littrup, Mark E. Sherman, Gretchen L. Gierach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Women with high breast density are at increased risk of developing breast cancer. Breast density has usually been defined using mammography as the ratio of fibroglandular tissue to total breast area. Ultrasound tomography (UST) is an emerging modality that can also be used to measure breast density. UST creates tomographic sound speed images of the patient's breast which is useful as sound speed is directly proportional to tissue density. Furthermore, the volumetric and quantitative information contained in the sound speed images can be used to describe the distribution of breast density. The work presented here measures the UST sound speed density distributions of 165 women with negative screening mammography. Frequency distributions of the sound speed voxel information were examined for each patient. In a preliminary analysis, the UST sound speed distributions were averaged across patients and grouped by various patient and density-related factors (e.g., age, body mass index, menopausal status, average mammographic breast density). It was found that differences in the distribution of density could be easily visualized for different patient groupings. Furthermore, findings suggest that the shape of the distributions may be used to identify participants with varying amounts of dense and non-dense tissue.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016
Subtitle of host publicationUltrasonic Imaging and Tomography
PublisherSPIE
Volume9790
ISBN (Electronic)9781510600256
DOIs
StatePublished - 2016
EventMedical Imaging 2016: Ultrasonic Imaging and Tomography - San Diego, United States
Duration: Feb 28 2016Feb 29 2016

Other

OtherMedical Imaging 2016: Ultrasonic Imaging and Tomography
CountryUnited States
CitySan Diego
Period2/28/162/29/16

Fingerprint

breast
Tomography
tomography
Ultrasonics
Acoustic waves
acoustics
Mammography
Tissue
Breast
age factor
Age Factors
Breast Density
Screening
frequency distribution
Body Mass Index
Breast Neoplasms
density distribution
emerging
screening
cancer

Keywords

  • Breast density
  • Density distribution
  • Sound speed
  • Ultrasound tomography

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Sak, M., Duric, N., Littrup, P., Sherman, M. E., & Gierach, G. L. (2016). Using ultrasound tomography to identify the distributions of density throughout the breast. In Medical Imaging 2016: Ultrasonic Imaging and Tomography (Vol. 9790). [979019] SPIE. https://doi.org/10.1117/12.2217611

Using ultrasound tomography to identify the distributions of density throughout the breast. / Sak, Mark; Duric, Neb; Littrup, Peter; Sherman, Mark E.; Gierach, Gretchen L.

Medical Imaging 2016: Ultrasonic Imaging and Tomography. Vol. 9790 SPIE, 2016. 979019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sak, M, Duric, N, Littrup, P, Sherman, ME & Gierach, GL 2016, Using ultrasound tomography to identify the distributions of density throughout the breast. in Medical Imaging 2016: Ultrasonic Imaging and Tomography. vol. 9790, 979019, SPIE, Medical Imaging 2016: Ultrasonic Imaging and Tomography, San Diego, United States, 2/28/16. https://doi.org/10.1117/12.2217611
Sak M, Duric N, Littrup P, Sherman ME, Gierach GL. Using ultrasound tomography to identify the distributions of density throughout the breast. In Medical Imaging 2016: Ultrasonic Imaging and Tomography. Vol. 9790. SPIE. 2016. 979019 https://doi.org/10.1117/12.2217611
Sak, Mark ; Duric, Neb ; Littrup, Peter ; Sherman, Mark E. ; Gierach, Gretchen L. / Using ultrasound tomography to identify the distributions of density throughout the breast. Medical Imaging 2016: Ultrasonic Imaging and Tomography. Vol. 9790 SPIE, 2016.
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