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Proceedings Article

Whole breast tissue characterization with ultrasound tomography

[+] Author Affiliations
Neb Duric, Peter Littrup, Cuiping Li, Olivier Roy, Steve Schmidt, Lisa Bey-Knight

Karmanos Cancer Institute (United States)

John Seamans, Andrea Wallen

Delphinus Medical Technologies (United States)

Proc. SPIE 9419, Medical Imaging 2015: Ultrasonic Imaging and Tomography, 94190G (March 17, 2015); doi:10.1117/12.2083203
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From Conference Volume 9419

  • Medical Imaging 2015: Ultrasonic Imaging and Tomography
  • Johan G. Bosch; Neb Duric
  • Orlando, Florida, United States | February 21, 2015

abstract

A number of clinical trials have shown that screening ultrasound, supplemental to mammography, detects additional cancers in women with dense breasts. However, labor intensity, operator dependence and high recall rates have limited adoption. This paper describes the use of ultrasound tomography for whole-breast tissue stiffness measurements as a first step toward addressing the issue of high recall rates. The validation of the technique using an anthropomorphic phantom is described. In-vivo applications are demonstrated on 13 breast masses, indicating that lesion stiffness correlates with lesion type as expected. Comparison of lesion stiffness measurements with standard elastography was available for 11 masses and showed a strong correlation between the 2 measures. It is concluded that ultrasound tomography can map out the 3 dimensional distribution of tissue stiffness over the whole breast. Such a capability is well suited for screening where additional characterization may improve the specificity of screening ultrasound, thereby lowering barriers to acceptance. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Neb Duric ; Peter Littrup ; Cuiping Li ; Olivier Roy ; Steve Schmidt, et al.
" Whole breast tissue characterization with ultrasound tomography ", Proc. SPIE 9419, Medical Imaging 2015: Ultrasonic Imaging and Tomography, 94190G (March 17, 2015); doi:10.1117/12.2083203; http://dx.doi.org/10.1117/12.2083203


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