Volume 65, Issue 1 pp. 289-294
Notes

Reference-based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion-weighted image sequences

Nils Daniel Forkert

Corresponding Author

Nils Daniel Forkert

Department of Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

Department of Medical Informatics, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246 Hamburg, Germany===Search for more papers by this author
Jens Fiehler

Jens Fiehler

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

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Thorsten Ries

Thorsten Ries

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

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Till Illies

Till Illies

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

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Dietmar Möller

Dietmar Möller

Department Computer Engineering, Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, Hamburg, Germany

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Heinz Handels

Heinz Handels

Institute of Medical Informatics, University of Lübeck, Lübeck, Germany

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Dennis Säring

Dennis Säring

Department of Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

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First published: 25 August 2010
Citations: 21

Abstract

The bolus arrival time (BAT) based on an indicator dilution curve is an important hemodynamic parameter. As the direct estimation of this parameter is generally problematic, various parametric models have been proposed that describe typical physiological shapes of indicator dilution curves, but it remains unclear which model describes the real physiological background. This article presents a method that indirectly incorporates physiological information derived from the data available. For this, a patient-specific hemodynamic reference curve is extracted, and the corresponding reference BAT is determined. To estimate a BAT for a given signal curve, the reference curve is fitted linearly to the signal curve. The parameters of the fitting process are then used to transfer the reference BAT to the signal curve. The validation of the method proposed based on Monte Carlo simulations showed that the approach presented is capable of improving the BAT estimation precision compared with standard BAT estimation methods by up to 59% while at the same time reduces the computation time. A major benefit of the method proposed is that no assumption about the underlying distribution of indicator dilution has to be made, as it is implicitly modeled in the reference curve. Magn Reson Med, 2010. © 2010 Wiley-Liss, Inc.

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