title: Vessel motion measurement in real-time using movement detection at multiple regions of interest.
abstract: A vessel motion detection algorithm has been implemented for the measurement of multiple lymphatic chamber diameters via pre-recorded VHS tape (PAL, 25 Hz). The method differs significantly from previous attempts based on edge-detection, in that it employs center of mass of pixel brightness in the vessel wall based on a Kalman filtered image subtracted from a Kalman filtered background. The operation of the algorithm confirms that it is able to detect accurately the full constriction-relaxation cycle of the vessel and produce data that meets high standards of tolerance. The procedure is well suited for real-time measurement of lymphatic and blood vessel constrictions in vitro or in vivo at multiple sites so long as the object under measurement is sufficiently differentiated from its background.
authors.affiliation: The Neuroscience Group, School of Biomedical Sciences, University of Newcastle, Callaghan, NSW 2308, Australia. Robert.Dielenberg@newcastle.edu.au
authors.forename: Robert
authors.initials: R
authors.lastname: Dielenberg
authors.forename: Paul
authors.initials: P
authors.lastname: Halasz
authors.forename: Kayoko
authors.initials: K
authors.lastname: Hosaka
authors.forename: Dirk
authors.initials: D
authors.lastname: van Helden
mesh_terms: D000465:Algorithms; D000818:Animals; D002138:Calibration; D003627:Data Interpretation, Statistical; D005260:Female; D006168:Guinea Pigs; D007091:Image Processing, Computer-Assisted; D008208:Lymphatic System / Q000033:anatomy & histology* / Q000502:physiology*; D008297:Male; D009068:Movement; D012984:Software