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

Standard

Reference-based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion-weighted image sequences. / Forkert, Nils; Fiehler, Jens; Ries, Thorsten; Illies, Till; Möller, Dietmar; Handels, Heinz; Säring, Dennis.

in: MAGN RESON MED, Jahrgang 65, Nr. 1, 1, 2011, S. 289-294.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Forkert, N, Fiehler, J, Ries, T, Illies, T, Möller, D, Handels, H & Säring, D 2011, 'Reference-based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion-weighted image sequences.', MAGN RESON MED, Jg. 65, Nr. 1, 1, S. 289-294. <http://www.ncbi.nlm.nih.gov/pubmed/20740654?dopt=Citation>

APA

Forkert, N., Fiehler, J., Ries, T., Illies, T., Möller, D., Handels, H., & Säring, D. (2011). Reference-based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion-weighted image sequences. MAGN RESON MED, 65(1), 289-294. [1]. http://www.ncbi.nlm.nih.gov/pubmed/20740654?dopt=Citation

Vancouver

Forkert N, Fiehler J, Ries T, Illies T, Möller D, Handels H et al. Reference-based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion-weighted image sequences. MAGN RESON MED. 2011;65(1):289-294. 1.

Bibtex

@article{e12fb6f01de54b57ab46e30b40e38fbc,
title = "Reference-based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion-weighted image sequences.",
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.",
keywords = "Animals, Germany, Humans, Reproducibility of Results, Sensitivity and Specificity, Image Interpretation, Computer-Assisted methods, Imaging, Three-Dimensional methods, Computer Simulation, Reference Values, Linear Models, Magnetic Resonance Angiography methods, Arteries physiology, Blood Flow Velocity physiology, Contrast Media pharmacokinetics, Models, Cardiovascular, Animals, Germany, Humans, Reproducibility of Results, Sensitivity and Specificity, Image Interpretation, Computer-Assisted methods, Imaging, Three-Dimensional methods, Computer Simulation, Reference Values, Linear Models, Magnetic Resonance Angiography methods, Arteries physiology, Blood Flow Velocity physiology, Contrast Media pharmacokinetics, Models, Cardiovascular",
author = "Nils Forkert and Jens Fiehler and Thorsten Ries and Till Illies and Dietmar M{\"o}ller and Heinz Handels and Dennis S{\"a}ring",
year = "2011",
language = "English",
volume = "65",
pages = "289--294",
journal = "MAGN RESON MED",
issn = "0740-3194",
publisher = "John Wiley and Sons Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Reference-based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion-weighted image sequences.

AU - Forkert, Nils

AU - Fiehler, Jens

AU - Ries, Thorsten

AU - Illies, Till

AU - Möller, Dietmar

AU - Handels, Heinz

AU - Säring, Dennis

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Animals

KW - Germany

KW - Humans

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Image Interpretation, Computer-Assisted methods

KW - Imaging, Three-Dimensional methods

KW - Computer Simulation

KW - Reference Values

KW - Linear Models

KW - Magnetic Resonance Angiography methods

KW - Arteries physiology

KW - Blood Flow Velocity physiology

KW - Contrast Media pharmacokinetics

KW - Models, Cardiovascular

KW - Animals

KW - Germany

KW - Humans

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Image Interpretation, Computer-Assisted methods

KW - Imaging, Three-Dimensional methods

KW - Computer Simulation

KW - Reference Values

KW - Linear Models

KW - Magnetic Resonance Angiography methods

KW - Arteries physiology

KW - Blood Flow Velocity physiology

KW - Contrast Media pharmacokinetics

KW - Models, Cardiovascular

M3 - SCORING: Journal article

VL - 65

SP - 289

EP - 294

JO - MAGN RESON MED

JF - MAGN RESON MED

SN - 0740-3194

IS - 1

M1 - 1

ER -