DocumentCode
1680404
Title
Tracking leukocytes from in vivo video microscopy using morphological anisotropic diffusion
Author
Acton, Scott T. ; Ley, Klaus
Author_Institution
Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA, USA
Volume
2
fYear
2001
Firstpage
300
Abstract
The study of inflammatory disease hinges upon the behavior and movement of leukocytes and their interaction with the endothelium. We put forth a method for tracking leukocytes in vivo, whereas tracking has been demonstrated previously only for in vitro experiments. The tracker is based on the enhancing capability of morphological anisotropic diffusion, a partial differential equation model for adaptively filtering imagery that retains structures of interest. Morphological anisotropic diffusion excels over standard diffusion in the ability to preserve objects of a certain shape and scale, and it improves upon standard morphological filters in terms of edge preservation and adaptive smoothing. We use the video frames enhanced by morphological diffusion for edge-based registration and background removal in the tracking process
Keywords
adaptive filters; diseases; edge detection; image enhancement; image registration; image sequences; mathematical morphology; medical image processing; partial differential equations; smoothing methods; tracking; video signal processing; adaptive filtering; adaptive smoothing; arthritis; background removal; edge preservation; edge-based registration; endothelium; enhancing capability; in vivo video microscopy; inflammatory disease; leukocyte tracking; morphological anisotropic diffusion; multiple sclerosis; partial differential equation model; video frames; Adaptive filters; Anisotropic magnetoresistance; Diseases; Fasteners; Filtering; In vitro; In vivo; Microscopy; Partial differential equations; White blood cells;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958487
Filename
958487
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