DocumentCode :
1171845
Title :
Motion gradient vector flow: an external force for tracking rolling leukocytes with shape and size constrained active contours
Author :
Ray, Nilanjan ; Acton, Scott T.
Author_Institution :
Dept. of Electr. & Comput. Eng./Biomed. Eng., Univ. of Virginia, Charlottesville, VA, USA
Volume :
23
Issue :
12
fYear :
2004
Firstpage :
1466
Lastpage :
1478
Abstract :
Recording rolling leukocyte velocities from intravital microscopic video imagery is a critical task in inflammation research and drug validation. Since manual tracking is excessively time consuming, an automated method is desired. This paper illustrates an active contour based automated tracking method, where we propose a novel external force to guide the active contour that takes the hemodynamic flow direction into account. The construction of the proposed force field, referred to as motion gradient vector flow (MGVF), is accomplished by minimizing an energy functional involving the motion direction, and the image gradient magnitude. The tracking experiments demonstrate that MGVF can be used to track both slow- and fast-rolling leukocytes, thus extending the capture range of previously designed cell tracking techniques.
Keywords :
biomedical optical imaging; blood; blood flow measurement; cellular biophysics; medical image processing; optical microscopy; active contour based automated tracking method; cell tracking; drug validation; hemodynamic flow; inflammation research; intravital microscopic video imagery; motion gradient vector flow; rolling leukocyte velocities; rolling leukocytes; shape-constrained active contours; size-constrained active contours; Active contours; Animals; Boundary conditions; Drugs; Hemodynamics; In vivo; Microscopy; Shape; Tracking; White blood cells; Active contour; anisotropic diffusion; gradient vector flow; intravital m; leukocyte rolling velocity; Algorithms; Animals; Artificial Intelligence; Cell Movement; Cells, Cultured; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Leukocytes; Mice; Mice, Knockout; Microscopy, Video; Models, Cardiovascular; Models, Statistical; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Rotation; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stress, Mechanical; Subtraction Technique;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2004.835603
Filename :
1362749
Link To Document :
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