The effect of motion correction on pharmacokinetic parameter estimation in dynamic-contrast-enhanced MRI
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[1] D Atkinson,et al. Registration of dynamic contrast-enhanced MRI using a progressive principal component registration (PPCR) , 2007, Physics in medicine and biology.
[2] Torsten Rohlfing,et al. Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint , 2003, IEEE Transactions on Medical Imaging.
[3] Nikos Paragios,et al. DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting , 2009, IPMI.
[4] Angela Caunce,et al. Tracer kinetic model–driven registration for dynamic contrast‐enhanced MRI time‐series data , 2007, Magnetic resonance in medicine.
[5] Daniel Rueckert,et al. Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images , 2000, MICCAI.
[6] Dinggang Shen,et al. De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration , 2007, MICCAI.
[7] Colin Studholme,et al. An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..
[8] David L Buckley,et al. Uncertainty in the analysis of tracer kinetics using dynamic contrast‐enhanced T1‐weighted MRI , 2002, Magnetic resonance in medicine.
[9] Michael Brady,et al. Simultaneous Segmentation and Registration of Contrast-Enhanced Breast MRI , 2005, IPMI.
[10] Ganesh Adluru,et al. Model‐based registration for dynamic cardiac perfusion MRI , 2006, Journal of magnetic resonance imaging : JMRI.
[11] M. Knopp,et al. Estimating kinetic parameters from dynamic contrast‐enhanced t1‐weighted MRI of a diffusable tracer: Standardized quantities and symbols , 1999, Journal of magnetic resonance imaging : JMRI.
[12] Boudewijn P. F. Lelieveldt,et al. Fully Automated Motion Correction in First-Pass Myocardial Perfusion MR Image Sequences , 2008, IEEE Transactions on Medical Imaging.
[13] D. Posada,et al. Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests. , 2004, Systematic biology.
[14] Yeng Chai Soh,et al. A physiologic model of capillary-tissue exchange for dynamic contrast-enhanced imaging of tumor microcirculation , 2003, IEEE Transactions on Biomedical Engineering.
[15] A R Padhani,et al. Dynamic contrast-enhanced MRI studies in oncology with an emphasis on quantification, validation and human studies. , 2001, Clinical radiology.
[16] Simone Schrading,et al. MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study , 2007, The Lancet.
[17] Stuart Crozier,et al. Dynamic breast MRI: Image registration and its impact on enhancement curve estimation , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[18] Frédérique Frouin,et al. New criteria for assessing fit quality in dynamic contrast‐enhanced T1‐weighted MRI for perfusion and permeability imaging , 2005, Magnetic resonance in medicine.
[19] C. Boetes,et al. Contrast-enhanced magnetic resonance imaging of the breast: the value of pharmacokinetic parameters derived from fast dynamic imaging during initial enhancement in classifying lesions , 2008, European Radiology.
[20] Anne L. Martel,et al. Evaluating an optical-flow-based registration algorithm for contrast-enhanced magnetic resonance imaging of the breast , 2007, Physics in medicine and biology.
[21] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[22] P. Tofts. Modeling tracer kinetics in dynamic Gd‐DTPA MR imaging , 1997, Journal of magnetic resonance imaging : JMRI.
[23] P. Carmeliet,et al. Angiogenesis in cancer and other diseases , 2000, Nature.
[24] A. Padhani,et al. Reproducibility of quantitative dynamic MRI of normal human tissues , 2002, NMR in biomedicine.
[25] D. Buckley,et al. Precision in measurements of perfusion and microvascular permeability with T1‐weighted dynamic contrast‐enhanced MRI , 2006, Magnetic resonance in medicine.
[26] Steven P Sourbron,et al. On the scope and interpretation of the Tofts models for DCE‐MRI , 2011, Magnetic resonance in medicine.
[27] Maximilian Reiser,et al. Prospective multicenter cohort study to refine management recommendations for women at elevated familial risk of breast cancer: the EVA trial. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[28] Geoff J M Parker,et al. Comparison of the performance of tracer kinetic model-driven registration for dynamic contrast enhanced MRI using different models of contrast enhancement. , 2006, Academic radiology.
[29] T W Redpath,et al. The effects of renal variation upon measurements of perfusion and leakage volume in breast tumours. , 2004, Physics in medicine and biology.
[30] T. Wong,et al. Automatic motion correction for breast MR imaging. , 1996, Radiology.
[31] Sébastien Ourselin,et al. Fast free-form deformation using graphics processing units , 2010, Comput. Methods Programs Biomed..
[32] Michael Brady,et al. Analysis of dynamic MR breast images using a model of contrast enhancement , 1997, Medical Image Anal..
[33] Arvid Lundervold,et al. ssessment of 3 D DCE-MRI of the kidneys using non-rigid image registration nd segmentation of voxel time courses rank , 2009 .