
Proceedings Paper
Comparison of ultrasound attenuation tomography methods for breast imagingFormat | Member Price | Non-Member Price |
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Paper Abstract
Ultrasound attenuation parameters of breast masses are closely related to their types and pathological states, therefore, it
is essential to reliably estimate attenuation parameters for quantitative breast tissue characterization. We study the
applicability of three different attenuation tomography methods for ultrasound breast imaging using a ring transducer
array. The first method uses the amplitude decays of signals transmitted through the breast to reconstruct attenuation
coefficients. The second method employs the spectral ratios between the pulse propagating through the breast and that
through water to obtain attenuation parameters. The third method makes use of the complex energy ratios estimated
using the amplitude envelopes of transmitted signals. We use in vitro and in vivo breast data acquired with a clinical
ultrasound breast imaging system (CURE) to compare these tomography methods. Our results show that the amplitude
decay method yields attenuation coefficients with more artifacts than the other two methods. There is bias and
variability in the estimated attenuation using the spectral ratio due to its sensitivity to different temporal band-widths and
signal-to-noise-ratios of the data. The method based on the complex signal energy ratio is more robust than the other
two methods and yields images with fewer artifacts.
Paper Details
Date Published: 13 March 2008
PDF: 9 pages
Proc. SPIE 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing, 692015 (13 March 2008); doi: 10.1117/12.771433
Published in SPIE Proceedings Vol. 6920:
Medical Imaging 2008: Ultrasonic Imaging and Signal Processing
Stephen A. McAleavey; Jan D'hooge, Editor(s)
PDF: 9 pages
Proc. SPIE 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing, 692015 (13 March 2008); doi: 10.1117/12.771433
Show Author Affiliations
Cuiping Li, Karmanos Cancer Institute (United States)
Neb Duric, Karmanos Cancer Institute (United States)
Neb Duric, Karmanos Cancer Institute (United States)
Lianjie Huang, Los Alamos National Lab. (United States)
Published in SPIE Proceedings Vol. 6920:
Medical Imaging 2008: Ultrasonic Imaging and Signal Processing
Stephen A. McAleavey; Jan D'hooge, Editor(s)
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