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Journal of Computational Neuroscience

Erschienen in:

01.08.2010

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

verfasst von: Patrick J. Drew, Pablo Blinder, Gert Cauwenberghs, Andy Y. Shih, David Kleinfeld

Erschienen in: Journal of Computational Neuroscience | Ausgabe 1-2/2010

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Abstract

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.

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Nächster Artikel An index of signal mode complexity based on orthogonal transformation

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Titel: Rapid determination of particle velocity from space-time images using the Radon transform
verfasst von: Patrick J. Drew
Pablo Blinder
Gert Cauwenberghs
Andy Y. Shih
David Kleinfeld
Publikationsdatum: 01.08.2010
Verlag: Springer US
Erschienen in: Journal of Computational Neuroscience / Ausgabe 1-2/2010
Print ISSN: 0929-5313
Elektronische ISSN: 1573-6873
DOI: https://doi.org/10.1007/s10827-009-0159-1

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