Analysis of Parameter Perfusion Imaging for Contrast-Enhanced Ultrasound Based on S-G Filter
Wang Bengang1,2, Ding Hong1*, Peng Shiyun1, Xu Zhiting1,2, Fu Tiantian1,2, Wang Wenping1
1(Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China) 2(Shanghai Institute of Medical Imaging, Shanghai 200032, China)
Abstract The previous perfusion analysis software for contrast-enhanced ultrasound (CEUS) provided quantitative parameters under the assumption that the region of interest (ROI) was a whole homogeneous perfusion area. To overcome the imperfection, we herein presented a fast data smoothing method with time domain based on S-G filter of ROI’s internal regional perfusion imaging based on pixel parameter analysis. The time intensity curve (TIC) of each pixel was obtained from the original DICOM dynamic imaging of CEUS data, the quantitative analysis of parameters of TIC were conducted based on the S-G filter, including time of arrival (AT), time to peak (TTP), peak intensity (PI), mean transit time (MTT), the area under the curve (AUC), and rising slope (RS). After that the pixel perfusion parameters coding was displayed in the color mode accurately and intuitively. The stability test was performed on 15 cases of hepatocellular carcinomas to obtain different quantitative parameters of TIC by three investigators respectively. The intraclass correlation coefficient of all parameters was more than 0.80.
Wang Bengang,Ding Hong,Peng Shiyun, et al. Analysis of Parameter Perfusion Imaging for Contrast-Enhanced Ultrasound Based on S-G Filter[J]. Chinese Journal of Biomedical Engineering, 2018, 37(4): 429-434.
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