Publications by authors named "Jacob Fluckiger"

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An empirical method for reducing variability and complexity of myocardial perfusion quantification by dual bolus cardiac MRI.
Neil Chatterjee, Brandon C Benefield, Kathleen R Harris, Jacob U Fluckiger, Timothy Carroll

Magn Reson Med· June 2017

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A Comparison of Theory-Based and Experimentally Determined Myocardial Signal Intensity Correction Methods in First-Pass Perfusion Magnetic Resonance Imaging.
Jacob U Fluckiger, Brandon C Benefield, Lara Bakhos, Kathleen R Harris, Daniel C Lee

Comput Math Methods Med· June 2016

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Velocity quantification by electrocardiography-gated phase contrast magnetic resonance imaging in patients with cardiac arrhythmia: a simulation study based on real time transesophageal echocardiography data in atrial fibrillation.
Michael Markl, Jacob Fluckiger, Daniel C Lee, Jason Ng, Jeffrey J Goldberger

J Comput Assist Tomogr· July 2015

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A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation.
Andriy Fedorov, Jacob Fluckiger, Gregory D Ayers, Xia Li, Sandeep N Gupta

Magn Reson Imaging· May 2014

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Using dynamic contrast-enhanced magnetic resonance imaging data to constrain a positron emission tomography kinetic model: theory and simulations.
Jacob U Fluckiger, Xia Li, Jennifer G Whisenant, Todd E Peterson, John C Gore

Int J Biomed Imaging· November 2013

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Left atrial flow velocity distribution and flow coherence using four-dimensional FLOW MRI: a pilot study investigating the impact of age and Pre- and Postintervention atrial fibrillation on atrial hemodynamics.
Jacob U Fluckiger, Jeffrey J Goldberger, Daniel C Lee, Jason Ng, Richard Lee

J Magn Reson Imaging· September 2013

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Absolute quantification of myocardial blood flow with constrained estimation of the arterial input function.
Jacob U Fluckiger, Brandon C Benefield, Kathleen R Harris, Daniel C Lee

J Magn Reson Imaging· September 2013

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A diffusion-compensated model for the analysis of DCE-MRI data: theory, simulations and experimental results.
Jacob U Fluckiger, Mary E Loveless, Stephanie L Barnes, Martin Lepage, Thomas E Yankeelov

Phys Med Biol· March 2013

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Reproducibility of static and dynamic (18)F-FDG, (18)F-FLT, and (18)F-FMISO MicroPET studies in a murine model of HER2+ breast cancer.
Jennifer G Whisenant, Todd E Peterson, Jacob U Fluckiger, Mohammed Noor Tantawy, Gregory D Ayers

Mol Imaging Biol· February 2013

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The effect of temporal sampling on quantitative pharmacokinetic and three-time-point analysis of breast DCE-MRI.
Jacob U Fluckiger, Matthias C Schabel, Edward V R Dibella

Magn Reson Imaging· September 2012

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The effect of obesity on regadenoson-induced myocardial hyperemia: a quantitative magnetic resonance imaging study.
Edward V R DiBella, Jacob U Fluckiger, Liyong Chen, Tae Ho Kim, Nathan A Pack

Int J Cardiovasc Imaging· August 2012

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Constrained estimation of the arterial input function for myocardial perfusion cardiovascular magnetic resonance.
Jacob U Fluckiger, Matthias C Schabel, Edward V R DiBella

Magn Reson Med· August 2011

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Toward local arterial input functions in dynamic contrast-enhanced MRI.
Jacob U Fluckiger, Matthias C Schabel, Edward V R DiBella

J Magn Reson Imaging· October 2010

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A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: I. Simulations.
Matthias C Schabel, Jacob U Fluckiger, Edward V R DiBella

Phys Med Biol· August 2010

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Model-based blind estimation of kinetic parameters in dynamic contrast enhanced (DCE)-MRI.
Jacob U Fluckiger, Matthias C Schabel, Edward V R Dibella

Magn Reson Med· December 2009

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