Using Short-Time Fourier Transform to Ultrasound Signals for Fatty Liver Detection
Chaojun Shou 1, Xiaoyu Chen 1,
Hao-Li Liu 2, and
Po-Hsiang Tsui 2
1. School of information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China
2. Department of Electrical Engineering, Chang-Gung University, Taoyuan, Taiwan
2. Department of Electrical Engineering, Chang-Gung University, Taoyuan, Taiwan
Abstract—Currently, Fatty Liver Disease (FLD) is a serious disease that damages people’s health. Ultrasound imaging can assist in clinical screening and examinations of FLD. Note that fatty infiltration results in acoustic attenuation, which is hard to reflect by conventional Fourier Transform. In this study we applied the Short Time Fourier Transform (STFT) as an alternative method to evaluate the degree of fatty liver by ultrasound. The experimental results demonstrated that STFT can successfully describe the frequency change caused by attenuation effect, behaving well in detecting the stage of FLD. In the future, STFT may be combined with ultrasound scanners to implement realtime estimation of attenuation effect for FLD evaluation.
Index Terms—ultrasound, short time Fourier transform, fatty liver
Cite: Chaojun Shou, Xiaoyu Chen, Hao-Li Liu, and Po-Hsiang Tsui, "Using Short-Time Fourier Transform to Ultrasound Signals for Fatty Liver Detection," International Journal of Signal Processing Systems, Vol. 4, No. 4, pp. 300-303, August 2016. doi: 10.18178/ijsps.4.4.300-303
Cite: Chaojun Shou, Xiaoyu Chen, Hao-Li Liu, and Po-Hsiang Tsui, "Using Short-Time Fourier Transform to Ultrasound Signals for Fatty Liver Detection," International Journal of Signal Processing Systems, Vol. 4, No. 4, pp. 300-303, August 2016. doi: 10.18178/ijsps.4.4.300-303