TY - JOUR
T1 - System-independent ultrasound attenuation coefficient estimation using spectra normalization
AU - Gong, Ping
AU - Song, Pengfei
AU - Huang, Chengwu
AU - Trzasko, Joshua
AU - Chen, Shigao
N1 - Funding Information:
Manuscript received December 31, 2018; accepted March 1, 2019. Date of publication March 5, 2019; date of current version April 24, 2019. This work was supported in part by the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health under Award R01DK106957. (Corresponding author: Shigao Chen.) The authors are with the Department of Radiology, Mayo Clinic College of Medicine, Rochester, MN 55905 USA (e-mail: chen.shigao@mayo.edu). Digital Object Identifier 10.1109/TUFFC.2019.2903010
Publisher Copyright:
© 1986-2012 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Ultrasound attenuation coefficient estimation (ACE) has diagnostic potential for clinical applications such as differentiating tumors and quantifying fat content in the liver. The two commonly used ACE methods in the ultrasound array imaging system are the spectral shift method and the reference-phantom-based methods. The spectra shift method estimates the central frequency downshift along depth, whereas the reference-phantom-based methods use a well-calibrated phantom to cancel system dependent effects in attenuation estimation. In this study, we propose a novel system-independent ACE technique based on spectra normalization of different frequencies. This technique does not require a reference phantom for normalization. The power of each frequency component is normalized by the power of an adjacent frequency component in the spectrum to cancel system-dependent effects, such as focusing and time gain compensation (TGC). This method is referred to as the reference frequency method (RFM), and its performance has been evaluated in phantoms and in vivo liver studies. The RFM technique can be applied to various transducer geometries (e.g., linear or curved arrays) with different beam patterns (e.g., focused or unfocused).
AB - Ultrasound attenuation coefficient estimation (ACE) has diagnostic potential for clinical applications such as differentiating tumors and quantifying fat content in the liver. The two commonly used ACE methods in the ultrasound array imaging system are the spectral shift method and the reference-phantom-based methods. The spectra shift method estimates the central frequency downshift along depth, whereas the reference-phantom-based methods use a well-calibrated phantom to cancel system dependent effects in attenuation estimation. In this study, we propose a novel system-independent ACE technique based on spectra normalization of different frequencies. This technique does not require a reference phantom for normalization. The power of each frequency component is normalized by the power of an adjacent frequency component in the spectrum to cancel system-dependent effects, such as focusing and time gain compensation (TGC). This method is referred to as the reference frequency method (RFM), and its performance has been evaluated in phantoms and in vivo liver studies. The RFM technique can be applied to various transducer geometries (e.g., linear or curved arrays) with different beam patterns (e.g., focused or unfocused).
KW - Frequency power spectra decay
KW - least squares method (LSM)
KW - system independent
KW - ultrasound attenuation coefficient estimation (ACE)
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U2 - 10.1109/TUFFC.2019.2903010
DO - 10.1109/TUFFC.2019.2903010
M3 - Article
C2 - 30843826
AN - SCOPUS:85064989080
SN - 0885-3010
VL - 66
SP - 867
EP - 875
JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
JF - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
IS - 5
M1 - 8660584
ER -