Abstract
Accurate detection of liver steatosis is important for liver disease management. Ultrasound
attenuation coefficient estimation (ACE) has great potential in quantifying liver
fat content. The ACE methods commonly assume uniform tissue characteristics. However,
in vivo tissues typically contain non-uniform structures, which may bias the attenuation
estimation and lead to large standard deviations. Here we propose a series of non-uniform
structure detection and removal (NSDR) methods to reduce the impact from non-uniform
structures during ACE analysis. The effectiveness of NSDR was validated through phantom
and in vivo studies. In a pilot clinical study, ACE with NSDR provided more robust in vivo performance as compared with ACE without NSDR, indicating its potential for in vivo applications.
Key Words
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Article info
Publication history
Published online: August 28, 2022
Accepted:
June 26,
2022
Received in revised form:
June 23,
2022
Received:
January 21,
2022
Identification
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