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Proceedings Paper

Backscattering analysis of high frequency ultrasonic imaging for ultrasound-guided breast biopsy
Author(s): Thomas Cummins; Takahiro Akiyama; Changyang Lee; Sue E. Martin; K. Kirk Shung
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Paper Abstract

A new ultrasound-guided breast biopsy technique is proposed. The technique utilizes conventional ultrasound guidance coupled with a high frequency embedded ultrasound array located within the biopsy needle to improve the accuracy in breast cancer diagnosis.1 The array within the needle is intended to be used to detect micro- calcifications indicative of early breast cancers such as ductal carcinoma in situ (DCIS). Backscattering analysis has the potential to characterize tissues to improve localization of lesions. This paper describes initial results of the application of backscattering analysis of breast biopsy tissue specimens and shows the usefulness of high frequency ultrasound for the new biopsy related technique. Ultrasound echoes of ex-vivo breast biopsy tissue specimens were acquired by using a single-element transducer with a bandwidth from 41 MHz to 88 MHz utilizing a UBM methodology, and the backscattering coefficients were calculated. These values as well as B-mode image data were mapped in 2D and matched with each pathology image for the identification of tissue type for the comparison to the pathology images corresponding to each plane. Microcalcifications were significantly distinguished from normal tissue. Adenocarcinoma was also successfully differentiated from adipose tissue. These results indicate that backscattering analysis is able to quantitatively distinguish tissues into normal and abnormal, which should help radiologists locate abnormal areas during the proposed ultrasound-guided breast biopsy with high frequency ultrasound.

Paper Details

Date Published: 13 March 2017
PDF: 15 pages
Proc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography, 101390R (13 March 2017); doi: 10.1117/12.2253661
Show Author Affiliations
Thomas Cummins, The Univ. of Southern California (United States)
Takahiro Akiyama, The Univ. of Southern California (United States)
Changyang Lee, Univ. of California, Davis (United States)
Sue E. Martin, The Univ. of Southern California (United States)
K. Kirk Shung, The Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 10139:
Medical Imaging 2017: Ultrasonic Imaging and Tomography
Neb Duric; Brecht Heyde, Editor(s)

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