Rapid determination of particle velocity from space-time images using the Radon transform

被引:116
作者
Drew, Patrick J. [1 ]
Blinder, Pablo [1 ]
Cauwenberghs, Gert [2 ,3 ]
Shih, Andy Y. [1 ]
Kleinfeld, David [1 ,3 ]
机构
[1] Univ Calif San Diego, Dept Phys, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Neurobiol Sect, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, Grad Program Neurosci, La Jolla, CA 92093 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
Automation; Blood flow; Brain; Kidney; Laser-scanning microscopy; Line-scan; tumor; BLOOD-FLOW; PENETRATING ARTERIOLES; BRAIN;
D O I
10.1007/s10827-009-0159-1
中图分类号
Q [生物科学];
学科分类号
090105 [作物生产系统与生态工程];
摘要
Laser-scanning methods are a means to observe streaming particles, such as the flow of red blood cells in a blood vessel. Typically, particle velocity is extracted from images formed from cyclically repeated line-scan data that is obtained along the center-line of the vessel; motion leads to streaks whose angle is a function of the velocity Past methods made use of shearing or rotation of the images and a Singular Value Decomposition (SVD) to automatically estimate the average velocity in a temporal window of data Here we present an alternative method that makes use of the Radon transform to calculate the velocity of streaming particles We show that this method is over an order of magnitude faster than the SVD-based algorithm and is more robust to noise.
引用
收藏
页码:5 / 11
页数:7
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