TY - GEN
T1 - A model-based approach for estimating local speed of sound in tissue using pulse echo ultrasound
AU - Jakovljevic, Marko
AU - Ali, Rehman
AU - Hyun, Dongwoon
AU - Hsieh, Scott
AU - Dahl, Jeremy
N1 - Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/10/31
Y1 - 2017/10/31
N2 - Speed of sound (SoS) could prove useful as a biomarker for detecting and staging non-alcoholic fatty liver disease due to its dependence on fat concentration in the liver. However, current ultrasound SoS estimators yield poor accuracy and/or are difficult to implement on traditional pulse-echo scanner architectures. We propose a model and a method to estimate speed of sound in a localized region of tissue with high accuracy that can be implemented on commercial ultrasound systems.
AB - Speed of sound (SoS) could prove useful as a biomarker for detecting and staging non-alcoholic fatty liver disease due to its dependence on fat concentration in the liver. However, current ultrasound SoS estimators yield poor accuracy and/or are difficult to implement on traditional pulse-echo scanner architectures. We propose a model and a method to estimate speed of sound in a localized region of tissue with high accuracy that can be implemented on commercial ultrasound systems.
UR - http://www.scopus.com/inward/record.url?scp=85039415779&partnerID=8YFLogxK
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U2 - 10.1109/ULTSYM.2017.8091993
DO - 10.1109/ULTSYM.2017.8091993
M3 - Conference contribution
AN - SCOPUS:85039415779
T3 - IEEE International Ultrasonics Symposium, IUS
BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017
PB - IEEE Computer Society
T2 - 2017 IEEE International Ultrasonics Symposium, IUS 2017
Y2 - 6 September 2017 through 9 September 2017
ER -