Data reconciliation of immersive heart inspection

X. Liu*, H. Koppelaar, H. Koffijberg, N. Bruining, R. Hamers

*Corresponding author for this work

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

1 Citation (Scopus)


IVUS images are complicated medical datasets suffering from some artifacts caused by the data acquisition method of immersive heart inspection. Data reconciliation, which removes tracing and tracking uncertainties of these datasets, is an important step for the medical application of remodeling the arteries in virtual reality to aid diagnosing and treating heart diseases. This paper provides an empirical data reconciliation method, which fuses the features of the coronary longitudinal movement with motion compensation model. It explains the distortion of the data set well and provides a method to analyze and reconcile the dataset.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Number of pages6
Publication statusPublished - 2004
EventIEEE International Conference on Systems, Man & Cybernetics, SMC 2004: Impacts of Emerging Cybernetics and Human-Machine Systems - The Hague, Netherlands
Duration: 11 Oct 200413 Oct 2004


ConferenceIEEE International Conference on Systems, Man & Cybernetics, SMC 2004
Abbreviated titleSMC
CityThe Hague


  • Data fusion
  • Data reconciliation
  • Immersive heart inspection
  • IVUS data processing
  • Medical image mining
  • Motion compensation


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