Evaluation of fatty proportion in fatty liver using least squares method with constraints

Xingsong Li; Yinhui Deng; Jinhua Yu; Yuanyuan Wang; Vijay Shamdasani

doi:10.3233/BME-141099

Evaluation of fatty proportion in fatty liver using least squares method with constraints

Biomed Mater Eng. 2014;24(6):2811-20. doi: 10.3233/BME-141099.

Authors

Xingsong Li¹, Yinhui Deng², Jinhua Yu³, Yuanyuan Wang⁴, Vijay Shamdasani⁵

Affiliations

¹ Department of Electronic Engineering, Fudan University, HenglongPhysic Building, Room 212, Shanghai 200433, China Department of Healthcare, Philips Research China, Shanghai 200233, China.
² Department of Healthcare, Philips Research China, Shanghai 200233, China.
³ Department of Electronic Engineering, Fudan University, HenglongPhysic Building, Room 212, Shanghai 200433, China Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, China.
⁴ Department of Electronic Engineering, Fudan University, HenglongPhysic Building, Room 212, Shanghai 200433, China.
⁵ Department of Healthcare, Philips Research China, Bothell, USA.

PMID: 25226986
DOI: 10.3233/BME-141099

Abstract

Backscatter and attenuation parameters are not easily measured in clinical applications due to tissue inhomogeneity in the region of interest (ROI). A least squares method(LSM) that fits the echo signal power spectra from a ROI to a 3-parameter tissue model was used to get attenuation coefficient imaging in fatty liver. Since fat's attenuation value is higher than normal liver parenchyma, a reasonable threshold was chosen to evaluate the fatty proportion in fatty liver. Experimental results using clinical data of fatty liver illustrate that the least squares method can get accurate attenuation estimates. It is proved that the attenuation values have a positive correlation with the fatty proportion, which can be used to evaluate the syndrome of fatty liver.

Keywords: Attenuation imaging; fatty liver; least squares method; quantitative ultrasound.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adipose Tissue / diagnostic imaging*
Adiposity*
Algorithms*
Data Interpretation, Statistical
Fatty Liver / diagnostic imaging*
Humans
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Least-Squares Analysis
Liver / diagnostic imaging*
Pattern Recognition, Automated / methods
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
Ultrasonography / methods*