Document Detail


Liver microcirculation analysis by red blood cell motion modeling in intravital microscopy images.
MedLine Citation:
PMID:  18232358     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Intravital microscopy has been used to visualize the microcirculation by imaging fluorescent labeled red blood cells (RBCs). Traditionally, microcirculation has been modeled by computing the mean velocity of a few, randomly selected, manually tracked RBCs. However, this protocol is tedious, time consuming, and subjective with technician related bias. We present a new method for analyzing the microcirculation by modeling the RBC motion through automatic tracking. The tracking of RBCs is challenging as in each image, as many as 200 cells move through a complex network of vessels at a wide range of speeds while deforming in shape. To reliably detect RBCs traveling at a wide range of speeds, a window of temporal template matching is applied. Then, cells appearing in successive frames are corresponded based on the motion behavior constraints in terms of the direction, magnitude, and path. The performance evaluation against a ground truth indicates the detection accuracy up to 84% TP at 6% FP and a correspondence accuracy of 89%. We include an in-depth discussion on comparison of the microcirculation based on motion modeling from the proposed automated method against a mean velocity from manual analysis protocol in terms of precision, objectivity, and sensitivity.
Authors:
Walid S Kamoun; Stephen J Schmugge; Jerrod P Kraftchick; Mark G Clemens; Min C Shin
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  55     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2008 Jan 
Date Detail:
Created Date:  2008-01-31     Completed Date:  2008-02-26     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  162-70     Citation Subset:  IM    
Affiliation:
Department of Biology, University of North Carolina, Charlotte, NC 28223, USA. wskamoun@uncc.edu
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MeSH Terms
Descriptor/Qualifier:
Animals
Cell Movement / physiology
Erythrocytes / cytology*,  physiology*
Flow Cytometry / methods
Image Interpretation, Computer-Assisted / methods*
Liver Circulation / physiology*
Microcirculation / cytology*,  physiology*
Microscopy, Fluorescence / methods*
Rats

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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