DocumentCode :
1346418
Title :
Detection of leukocytes in contact with the vessel wall from in vivo microscope recordings using a neural network
Author :
Egmont-Petersen, M. ; Schreiner, U. ; Tromp, S.C. ; Lehmann, T.M. ; Slaaf, D.W. ; Arts, T.
Author_Institution :
Dept. of Biophys., Maastricht Univ., Netherlands
Volume :
47
Issue :
7
fYear :
2000
fDate :
7/1/2000 12:00:00 AM
Firstpage :
941
Lastpage :
951
Abstract :
Leukocytes play an important role in the host defense as they may travel from the blood stream into the tissue in reacting to inflammatory stimuli. The lenkocyte-vessel wall interactions are studied in post capillary vessels by intravital video microscopy during in vivo animal experiments. Sequences of video images are obtained and digitized with a frame grabber. A method for automatic detection and characterization of leukocytes in the video images is developed. Individual leukocytes are detected using a neural network that is trained with synthetic leukocyte images generated using a novel stochastic model. This model makes it feasible to generate images of leukocytes with different shapes and sizes under various lighting conditions. Experiments indicate that neural networks trained with the synthetic leukocyte images perform better than networks trained with images of manually detected leukocytes. The best performing neural network trained with synthetic leukocyte images resulted in an 18% larger area under the ROC curve than the best performing neural network trained with manually detected leukocytes
Keywords :
biology computing; blood; blood vessels; cellular biophysics; image sequences; neural nets; optical microscopy; area under ROC curve; biophysical research technique; host defense; in vivo animal experiments; in vivo microscope recordings; inflammatory stimuli; leukocytes in contact with vessel wall; lighting conditions; manually detected leukocytes; neural network analysis; synthetic leukocyte images; video image sequences; white blood cells; Art; Biophysics; Convolution; Filtering; In vivo; Microscopy; Neural networks; Shape; Streaming media; White blood cells;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.846689
Filename :
846689
Link To Document :
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