Measurement of functional microcirculatory geometry and velocity distributions using automated image analysis

Med Biol Eng Comput. 2008 Jul;46(7):659-70. doi: 10.1007/s11517-008-0349-4. Epub 2008 Apr 22.


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.

Publication types

  • Validation Study

MeSH terms

  • Blood Flow Velocity / physiology
  • Coronary Artery Bypass, Off-Pump
  • Erythrocytes / physiology
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Male
  • Microcirculation / physiology*
  • Microscopy, Video / methods
  • Mouth Floor / blood supply*
  • Reproducibility of Results
  • Software Design