Chapter

Bildverarbeitung für die Medizin 2012

Part of the series Informatik aktuell pp 57-62

Date:

FluidTracks

Combining Nonlinear Image Registration and Active Contours for Cell Tracking
  • Nico ScherfAffiliated withInstitute for Medical Informatics and Biometry, Dresden University of TechnologyInterdisciplinary Centre for Bioinformatics, University of Leipzig Email author 
  • , Christian LudborzsAffiliated withInstitute for Medical Informatics and Biometry, Dresden University of TechnologyInterdisciplinary Centre for Bioinformatics, University of Leipzig
  • , Konstantin ThierbachAffiliated withInstitute for Medical Informatics and Biometry, Dresden University of Technology
  • , Jens-Peer KuskaAffiliated withInterdisciplinary Centre for Bioinformatics, University of Leipzig
  • , Ulf-Dietrich BraumannAffiliated withInterdisciplinary Centre for Bioinformatics, University of Leipzig
  • , Patrick ScheibeAffiliated withInterdisciplinary Centre for Bioinformatics, University of LeipzigTranslational Centre for Regenerative Medicine, University of Leipzig
  • , Tilo PompeAffiliated withInstitute for Biochemistry, University of Leipzig
  • , Ingmar GlaucheAffiliated withInstitute for Medical Informatics and Biometry, Dresden University of Technology
  • , Ingo RoederAffiliated withInstitute for Medical Informatics and Biometry, Dresden University of Technology

* Final gross prices may vary according to local VAT.

Get Access

Abstract

Continuous analysis of multi-cellular systems at the single cell level in space and time is one of the fundamental tools in cell biology and experimental medicine to study the mechanisms underlying tissue formation, regeneration and disease progression. We present an approach to cell tracking using nonlinear image registration and level set segmentation that can handle different cell densities, occlusions and cell divisions.