Quantitative 3D subharmonic imaging for characterizing breast lesions

Anush Sridharan, John Eisenbrey, Maria Stanczak, Priscilla Machado, Annina Wilkes, Alexander Sevrukov, Haydee Ojeda-Fournier, Robert Mattrey, Kirk Wallace, Flemming Forsberg

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

Abstract

Breast cancer is the second most common cancer in the world and the most frequent type of cancer among women (25 % of all cancers). This study used contrast-enhanced 3D subharmonic imaging (SHI) to produce quantitative parametric maps for characterization of breast lesions.

Original languageEnglish (US)
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
DOIs
StatePublished - Oct 31 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: Sep 6 2017Sep 9 2017

Other

Other2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States
CityWashington
Period9/6/179/9/17

Fingerprint

breast
lesions
cancer

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Sridharan, A., Eisenbrey, J., Stanczak, M., Machado, P., Wilkes, A., Sevrukov, A., ... Forsberg, F. (2017). Quantitative 3D subharmonic imaging for characterizing breast lesions. In 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8092889] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8092889

Quantitative 3D subharmonic imaging for characterizing breast lesions. / Sridharan, Anush; Eisenbrey, John; Stanczak, Maria; Machado, Priscilla; Wilkes, Annina; Sevrukov, Alexander; Ojeda-Fournier, Haydee; Mattrey, Robert; Wallace, Kirk; Forsberg, Flemming.

2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017. 8092889.

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

Sridharan, A, Eisenbrey, J, Stanczak, M, Machado, P, Wilkes, A, Sevrukov, A, Ojeda-Fournier, H, Mattrey, R, Wallace, K & Forsberg, F 2017, Quantitative 3D subharmonic imaging for characterizing breast lesions. in 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8092889, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 9/6/17. https://doi.org/10.1109/ULTSYM.2017.8092889
Sridharan A, Eisenbrey J, Stanczak M, Machado P, Wilkes A, Sevrukov A et al. Quantitative 3D subharmonic imaging for characterizing breast lesions. In 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society. 2017. 8092889 https://doi.org/10.1109/ULTSYM.2017.8092889
Sridharan, Anush ; Eisenbrey, John ; Stanczak, Maria ; Machado, Priscilla ; Wilkes, Annina ; Sevrukov, Alexander ; Ojeda-Fournier, Haydee ; Mattrey, Robert ; Wallace, Kirk ; Forsberg, Flemming. / Quantitative 3D subharmonic imaging for characterizing breast lesions. 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017.
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