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

doi:10.1109/ULTSYM.2017.8092889

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 proceeding › Conference 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 language	English (US)
Title of host publication	2017 IEEE International Ultrasonics Symposium, IUS 2017
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538633830
DOIs	https://doi.org/10.1109/ULTSYM.2017.8092889
State	Published - Oct 31 2017
Event	2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States Duration: Sep 6 2017 → Sep 9 2017

Publication series

Name	IEEE International Ultrasonics Symposium, IUS
ISSN (Print)	1948-5719
ISSN (Electronic)	1948-5727

Other

Other	2017 IEEE International Ultrasonics Symposium, IUS 2017
Country/Territory	United States
City	Washington
Period	9/6/17 → 9/9/17

ASJC Scopus subject areas

Acoustics and Ultrasonics

Access to Document

10.1109/ULTSYM.2017.8092889

Cite this

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 Article 8092889 (IEEE International Ultrasonics Symposium, IUS). IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8092889

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 International Ultrasonics Symposium, IUS, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 9/6/17. https://doi.org/10.1109/ULTSYM.2017.8092889

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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.",

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

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Quantitative 3D subharmonic imaging for characterizing breast lesions

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