Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2008-6-19
pubmed:abstractText
This study describes a new method for analyzing microcirculatory videos. It introduces algorithms for quantitative assessment of vessel length, diameter, the functional microcirculatory density distribution and red blood-cell (RBC) velocity in individual vessels as well as its distribution. The technique was validated and compared to commercial software. The method was applied to the sublingual microcirculation in a healthy volunteer and in a patient during cardiac surgery. Analysis time was reduced from hours to minutes compared to previous methods requiring manual vessel identification. Vessel diameter was detected with high accuracy (>80%, d > 3 pixels). Capillary length was estimated within 5 pixels accuracy. Velocity estimation was very accurate (>95%) in the range [2.5, 1,000] pixels/s. RBC velocity was reduced by 70% during the first 10 s of cardiac luxation. The present method has been shown to be fast and accurate and provides increased insight into the functional properties of the microcirculation.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-10720883, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-11408415, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-11728549, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-11754431, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-11867912, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-12091178, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-12187127, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-12423989, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-1474928, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-15084075, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-15087565, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-15280096, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-15343008, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-15347769, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-16147466, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-16424721, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-16525591, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-16715034, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-3220679, http://linkedlifedata.com/resource/pubmed/commentcorrection/18427850-7564793
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1741-0444
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
46
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
659-70
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Measurement of functional microcirculatory geometry and velocity distributions using automated image analysis.
pubmed:affiliation
Department of Physiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. j.g.dobbe@amc.uva.nl
pubmed:publicationType
Journal Article, Validation Studies