title: Evaluation of fatty proportion in fatty liver using least squares method with constraints.
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.
authors.affiliation: Department of Electronic Engineering, Fudan University, HenglongPhysic Building, Room 212, Shanghai 200433, China Department of Healthcare, Philips Research China, Shanghai 200233, China.
authors.forename: Xingsong
authors.initials: X
authors.lastname: Li
authors.affiliation: Department of Healthcare, Philips Research China, Shanghai 200233, China.
authors.forename: Yinhui
authors.initials: Y
authors.lastname: Deng
authors.affiliation: 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.
authors.forename: Jinhua
authors.initials: J
authors.lastname: Yu
authors.affiliation: Department of Electronic Engineering, Fudan University, HenglongPhysic Building, Room 212, Shanghai 200433, China.
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Healthcare, Philips Research China, Bothell, USA.
authors.forename: Vijay
authors.initials: V
authors.lastname: Shamdasani
mesh_terms: D000273:Adipose Tissue / Q000000981:diagnostic imaging*; D050154:Adiposity; D000465:Algorithms; D003627:Data Interpretation, Statistical; D005234:Fatty Liver / Q000000981:diagnostic imaging*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016018:Least-Squares Analysis; D008099:Liver / Q000000981:diagnostic imaging*; D010363:Pattern Recognition, Automated / Q000379:methods; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014463:Ultrasonography / Q000379:methods*
keywords: Attenuation imaging; fatty liver; least squares method; quantitative ultrasound