An Automated Image Processing Approach for Assessment of Local Pulse Wave Velocity From B-Mode Ultrasound Data

This dataset provides imaging based measurements used to estimate local pulse wave velocity (PWV) from ultrasound modality acquired in the rat abdominal aorta. Data were collected from two subjects across multiple weeks, including a post-doxorubicin (DOX) condition. The dataset includes:

a) B-Mode Image showing several locations where analysis took place.
b) M-mode image to visualize vessel expansion
c) Generating Relative Displacement Signals from Cross-Correlation technique.
d) Filtered signals , and calculating foot time.
e) Outlier Detection and PWV computation from linear slope of Distance vs Time.

本数据集提供基于成像的测量数据，用于通过针对大鼠腹主动脉采集的超声模态（ultrasound modality）数据估算局部脉搏波速度（pulse wave velocity, PWV）。数据采集自2只大鼠，覆盖多周时间跨度，包含阿霉素（doxorubicin, DOX）给药后的实验条件。数据集包含以下内容：
a) 展示多个分析位点的B型超声图像（B-Mode Image）；
b) 用于可视化血管扩张的M型超声图像（M-mode image）；
c) 通过互相关技术（Cross-Correlation technique）生成相对位移信号（Relative Displacement Signals）；
d) 对信号进行滤波处理，并计算波足时刻（foot time）；
e) 基于距离-时间的线性斜率完成异常值检测（Outlier Detection）与PWV计算。