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316 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 51, NO. 2, FEBRUARY 2004 Vessel Boundary Tracking for Intravital Microscopy
 

Summary: 316 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 51, NO. 2, FEBRUARY 2004
Vessel Boundary Tracking for Intravital Microscopy
Via Multiscale Gradient Vector Flow Snakes
Jinshan Tang, Senior Member, IEEE and Scott T. Acton*, Senior Member, IEEE
Abstract--Due to movement of the specimen, vasodilation,
and intense clutter, the intravital location of a vessel boundary
from video microscopy is a difficult but necessary task in ana-
lyzing the mechanics of inflammation and the structure of the
microvasculature. This paper details an active contour model
for vessel boundary detection and tracking. In developing the
method, two innovations are introduced. First, the B-spline model
is combined with the gradient vector flow (GVF) external force.
Second, a multiscale gradient vector flow (MSGVF) is employed
to elude clutter and to reliably localize the vessel boundaries.
Using synthetic experiments and video microscopy obtained via
transillumination of the mouse cremaster muscle, we demonstrate
that the MSGVF approach is superior to the fixed-scale GVF
approach in terms of boundary localization. In each experiment,
the fixed scale approach yielded at least a 50% increase in root
mean squared error over the multiscale approach. In addition to

  

Source: Acton, Scott - Department of Electrical and Computer Engineering, University of Virginia

 

Collections: Computer Technologies and Information Sciences