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Article

Estimation of Tissue Attenuation from Ultrasonic B-Mode Images—Spectral-Log-Difference and Method-of-Moments Algorithms Compared †

1
Institute for Measurement Technology, Johannes Kepler University Linz, 4040 Linz, Austria
2
Linz Center of Mechatronics Ltd. (LCM), 4040 Linz, Austria
3
Department of Radiology, Stanford University, Palo Alto, CA 94304, USA
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Brandner, D.; Cai, X.; Foiret, J.; Ferrara, K.W.; Zagar, B.G. Estimation of attenuation coefficient from simulated B–mode ultrasound images and tissue mimicking materials. In Proceedings of the 6th International Conference on Sensors Engineering and Electronics Instrumentation Advances (SEIA’ 2020), Porto, Portugal, 23–25 September 2020; pp. 143–148.
Academic Editors: Sergey Y. Yurish, Vijayakumar Varadarajan and Panicos Kyriacou
Sensors 2021, 21(7), 2548; https://doi.org/10.3390/s21072548
Received: 27 February 2021 / Revised: 31 March 2021 / Accepted: 1 April 2021 / Published: 5 April 2021
We report on results from the comparison of two algorithms designed to estimate the attenuation coefficient from ultrasonic B-mode scans obtained from a numerical phantom simulating an ultrasound breast scan. It is well documented that this parameter significantly diverges between normal tissue and malignant lesions. To improve the diagnostic accuracy it is of great importance to devise and test algorithms that facilitate the accurate, low variance and spatially resolved estimation of the tissue’s attenuation properties. A numerical phantom is realized using k-Wave, which is an open source Matlab toolbox for the time-domain simulation of acoustic wave fields that facilitates both linear and nonlinear wave propagation in homogeneous and heterogeneous tissue, as compared to strictly linear ultrasound simulation tools like Field II. k-Wave allows to simulate arbitrary distributions, resolved down to single voxel sizes, of parameters including the speed of sound, mass density, scattering strength and to include power law acoustic absorption necessary for simulation tasks in medical diagnostic ultrasound. We analyze the properties and the attainable accuracy of both the spectral-log-difference technique, and a statistical moments based approach and compare the results to known reference values from the sound field simulation. View Full-Text
Keywords: ultrasound imaging; attenuation imaging; k-Wave; ultrasound simulation; spectral log difference technique; method of moments; tissue mimicking materials ultrasound imaging; attenuation imaging; k-Wave; ultrasound simulation; spectral log difference technique; method of moments; tissue mimicking materials
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MDPI and ACS Style

Brandner, D.M.; Cai, X.; Foiret, J.; Ferrara, K.W.; Zagar, B.G. Estimation of Tissue Attenuation from Ultrasonic B-Mode Images—Spectral-Log-Difference and Method-of-Moments Algorithms Compared. Sensors 2021, 21, 2548. https://doi.org/10.3390/s21072548

AMA Style

Brandner DM, Cai X, Foiret J, Ferrara KW, Zagar BG. Estimation of Tissue Attenuation from Ultrasonic B-Mode Images—Spectral-Log-Difference and Method-of-Moments Algorithms Compared. Sensors. 2021; 21(7):2548. https://doi.org/10.3390/s21072548

Chicago/Turabian Style

Brandner, Dinah M., Xiran Cai, Josquin Foiret, Katherine W. Ferrara, and Bernhard G. Zagar. 2021. "Estimation of Tissue Attenuation from Ultrasonic B-Mode Images—Spectral-Log-Difference and Method-of-Moments Algorithms Compared" Sensors 21, no. 7: 2548. https://doi.org/10.3390/s21072548

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