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, Vol. 65, No. 1, 1, 2011, p. 289-294.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
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 -