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

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Li, Xingsong; | Deng, Yinhui | Yu, Jinhua; ; | Wang, Yuanyuan | Shamdasani, Vijay

Affiliations: Department of Electronic Engineering, Fudan University, HenglongPhysic Building, Room 212, Shanghai 200433, China | Department of Healthcare, Philips Research China, Shanghai 200233, China | Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, China | Department of Healthcare, Philips Research China, Bothell, USA

Note: [] Corresponding author: Jinhua Yu, Department of Electronic Engineering, Fudan University, Shanghai, China. Tel./Fax: 021-65643202; E-mail: [email protected].

Keywords: Attenuation imaging, least squares method, fatty liver, quantitative ultrasound

DOI: 10.3233/BME-141099

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 2811-2820, 2014

Published: 2014
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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.

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