摘要
微循环的血流速度是反映微循环状态的重要指标,在许多生理和病理状态下有着重要的参考价值。基于时空(ST)图的流速测量方法思想是将细胞的运动轨迹映射到二维时空图中,将基于视频的流速测量转换为对ST图中轨迹的方向测量。本文提出了一种基于随机Hough变换与投影变换的轨迹方向测量算法,能够在受噪声影响较大的ST图中准确检测轨迹方向并计算微循环流速。实验结果表明本文算法测量的微循环流速与人工手动测量的结果吻合度超过90%。
The velocity of blood in vessels is an important indicator that reflects the microcirculatory status.The core of the measurement technology,which is based on spatiotemporal(ST)image,is to map the cell motion trace to the two-dimensional ST image,and transfer the measurement of flow velocity to the detection of trace orientation in ST image.This paper proposes a trace orientation measurement algorithm is based on Randomized Hough Transformation and projection transformation,and it is able to estimate trace orientation and flow velocity in noisy ST images.Experiments showed that the agreement between the results by manual and by the proposed algorithm reached over90%.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2015年第2期446-450,共5页
Journal of Biomedical Engineering
关键词
微循环
流速测量
时空图
轨迹方向
随机HOUGH变换
microcirculation
velocity measurement
spatiotemporal image
trace orientation
randomized Hough transformation