Home >> Neurological Research, Volume 24, Number 7

Parameter fitting of digital models of pulsatile hemodynamics based on intravascular measurements in the rabbit aorta

Authors: Frings-Naberschulte, Jens1; Schaller, Carlo2;  Meyer, Bernhard2; Baslam, Mounir2; Berlis, Ansgar3; Schramm, Johannes2; Möller, Knut4

Source: Neurological Research, Volume 24, Number 7, October 2002 , pp. 687-696(10)

Publisher: Maney Publishing

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Abstract:

The objective was to describe and evaluate methods of in vivo intravascular assessment of pressure and flow within the systemic arterial tree for further digital processing and individualized simulation. In rabbits intra-aortic pressure and flow were measured by insertion of microcatheters and/or a Doppler probe, which were moved to different angiographically documented sites. Various catheters and sheaths were evaluated prior to digitized processing of the obtained data, which was based on electrotechnical analoga for description of elastic vascular segments. Fourier transformation and filtering provided signal data for further identification of the investigated parameters. Catheters with an inner diameter ? 0.9 mm produced reliable pressure signals. Simultaneous measurement of pressure and flow reduced the reliability of the absolute values by reduction of the cross-sectional diameter of the investigated vascular segments. Numerical optimization methods were used to identify parameters in the proposed models from the measured data sets. Characterization of hemodynamics by intravascular measurements of pressure and flow proved feasible. Pressure recordings should be judged critically if the cross-sectional area of the catheter covers a significant fraction of the vessel. Post-processing of such data sets may assist in future treatment planning and simulation of concomitant changes of intravascular pressure and flow.

Keywords: ARTERIAL BLOOD PRESSURE; COMPUTERIZED SIMULATION; BLOOD FLOW; INTRAVASCULAR CATHETERS

Document Type: Research Article

DOI: http://dx.doi.org/10.1179/016164102101200591

Affiliations: 1: Department of Computer Science I, University of Bonn, Germany 2: Department of Neurosurgery, University of Bonn Medical Center, Germany 3: Department of Radiology, University of Bonn Medical Center, Germany 4: Department of Medical Engineering, University of Applied Sciences, Furtwangen, Germany

Publication date: 2002-10-01

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