Vessel diameter tracking in intravital microscopy image sequences

Jaesung Lee, Artit Jirapatnakul, Anthony P. Reeves, William E. Crowe, Ingrid H. Sarelius

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A new feature-based tracking algorithm was developed for measuring diameter of vessels in intravital video microscopy image sequences. Testing was performed with ten synthetic image sequences with known diameters and ten intravital microscopy sequences. The automatic measurements were compared with the manual measurements using linear regression analysis. The regression analysis indicated that our method is in agreement with manual measurements by human observers. The reproducibility of the method was evaluated based on Bland-Altman analysis. Bland-Altman statistic for the automated method was narrower than for the manual measurements, indicating that the automated method has a better reproducibility than human raters.

Original languageEnglish
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages360-363
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: 12 Apr 200715 Apr 2007

Publication series

Name2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Conference

Conference2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Country/TerritoryUnited States
CityArlington, VA
Period12/04/0715/04/07

Keywords

  • Feature tracking
  • Intravital microscopy
  • Microcirculation
  • Vessel diameter

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