Title :
Data reconciliation of immersive heart inspection
Author :
Liu, Xindong ; Koppelaar, H. ; Koffijberg, H. ; Bruining, Nico ; Hamers, R.
Author_Institution :
Fac. of Electr. Eng., Math. & Comput. Sci., Delft Univ. of Technol.
Abstract :
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
Keywords :
cardiology; data acquisition; diseases; medical image processing; patient treatment; virtual reality; data acquisition method; data reconciliation; heart disease treatment; immersive heart inspection; intravascular ultrasound image; medical datasets; virtual reality; Arteries; Biomedical equipment; Biomedical imaging; Data acquisition; Heart; Inspection; Medical diagnostic imaging; Medical services; Uncertainty; Virtual reality;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1398289
