Quantitative Evaluation of Two-Factor Analysis Applied to Hepatic Perfusion Study Using Contrast-enhanced Ultrasound
Quantitative Evaluation of Two-Factor Analysis Applied to Hepatic Perfusion Study Using Contrast-enhanced Ultrasound
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DOI：
10.1109/tbme.2011.2171038
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发表时间：
2013-02
影响因子：
4.6
通讯作者：
Ji Zhang;Mingyue Ding;Fan Meng;Xuming Zhang
中科院分区：
文献类型：
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作者：
Ji Zhang;Mingyue Ding;Fan Meng;Xuming Zhang
局灶性肝脏病变 (FLL) 通常通过从超声造影 (CEUS) 图像序列中提取的时间强度曲线 (TIC) 进行定量评估。为了克服手动感兴趣区域（ROI）选择并自动提取TIC的主观性，提出了一种称为替换近似（RA）的新型因子分析方法。假设这两个因素分别是动脉期和门静脉期，则将高维时间序列数据映射到一维空间，其中图像中每个像素处的TIC成为沿一维轴的点。 RA 方法旨在寻找子空间中与因子曲线（目标 TIC）相对应的两个顶点。该方法在 18 个带有呼吸运动校正的自由呼吸数据集上进行了测试。实验结果表明，RA方法能够有效地提取生理因素曲线和相应的因素图像。因子曲线与相应 ROI 测量值之间的平均相关系数为 0.95 ± 0.02。此外，利用因子曲线得出的FLL的洗入时间比率指标进行参数成像，可以代表不同类型FLL的特征。这些结果表明，双因素分析有可能对肝脏灌注进行定量分析，这将有助于FLL的鉴别诊断。
Focal liver lesions (FLLs) are usually quantitatively assessed by time-intensity curves (TICs) extracted from contrast-enhanced ultrasound (CEUS) image sequences. To overcome the subjectivity of manual region of interest (ROI) selection and automatically extract TICs, a novel factor analysis method called replace approximation (RA) was proposed. Assuming that the two factors are the arterial and portal vein phases, respectively, the high-dimensional time-series data are mapped into 1-D space, where the TIC at each pixel in the image becomes a point along a one-dimensional axis. The RA method aims to seek two apexes corresponding to the factor curves (the targeted TICs) in the subspace. This method was tested on 18 free-breathing datasets with respiratory motion correction. The experimental results showed that the RA method extracted physiological factor curves and the corresponding factor images efficiently. The mean correlation coefficient between the factor curves and the corresponding ROI measurements was 0.95 ± 0.02. Furthermore, the wash-in time ratio indexes of FLLs derived from the factor curves were used to perform parametric imaging, which could represent the characteristics of different types of FLLs. These results indicate that two-factor analysis has the potential to perform quantitative analysis of hepatic perfusion, which would be helpful to the differential diagnosis of FLLs.