Operator dependency of arterial input function in dynamic contrast-enhanced MRI

被引:0
作者
Magne Kleppestø
Atle Bjørnerud
Inge Rasmus Groote
Minjae Kim
Jonas Vardal
Christopher Larsson
机构
[1] Oslo University Hospital,Division of Radiology and Nuclear Medicine, Department of Diagnostic Physics
[2] University of Oslo,Faculty of Medicine
[3] Oslo University Hospital,Unit for Computational Radiology and Artificial Intelligence, Division of Radiology and Nuclear Medicine
[4] University of Oslo,Department of Physics, Faculty of Mathematics and Natural Sciences
[5] University of Oslo,Department of Psychology, Faculty for Social Sciences
[6] Vestfold Hospital Trust,Department of Radiology
[7] University of Ulsan College of Medicine,Department of Radiology, Asan Medical Center
[8] University of Ulsan College of Medicine,Department of Radiology and Research Institute of Radiology
[9] Asan Medical Center,Department of Radiology
[10] Vestre Viken Hospital Trust,Department of Neurosurgery
[11] Oslo University Hospital,undefined
[12] Rikshospitalet,undefined
来源
Magnetic Resonance Materials in Physics, Biology and Medicine | 2022年 / 35卷
关键词
Dynamic contrast-enhanced MRI; DCE-MRI; Glioblastoma; AIF; Arterial input function; Observer dependency;
D O I
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中图分类号
学科分类号
摘要
引用
收藏
页码:105 / 112
页数:7
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[1]  
Larsson HBW(1990)Quantitation of blood-brain barrier defect by magnetic resonance imaging and gadolinium-DTPA in patients with multiple sclerosis and brain tumors Magn Reson Med 16 117-131
[2]  
Stubgaard M(1999)Estimating kinetic parameters from dynamic contrast-enhanced T1- weighted MRI of a diffusable tracer: standardized quantities and symbols J Magn Reson Imaging 10 223-232
[3]  
Frederiksen JL(2013)Sampling requirements in DCE-MRI based analysis of high grade gliomas: simulations and clinical results J Magn Reson Imaging 37 818-829
[4]  
Jensen M(2015)T 1 in high-grade glioma and the influence of different measurement strategies on parameter estimations in DCE-MRI J Magn Reson Imaging 42 97-104
[5]  
Henriksen O(2012)Impact of precontrast T1 relaxation times on DCE-MRI pharmacokinetic parameters: T1 mapping versus a fixed reference value Proc Intl Soc Mag Reson Med 20 1961-1199
[6]  
Paulson OB(2017)Intravoxel incoherent motion MRI in the brain: impact of the fitting model on perfusion fraction and lesion differentiability J Magn Reson Imaging 46 1187-66
[7]  
Tofts PS(2016)The impact of arterial input function determination variations on prostate dynamic contrast-enhanced magnetic resonance imaging pharmacokinetic modeling: a multicenter data analysis challenge Tomography 5 56-531
[8]  
Brix G(2006)Automatic selection of arterial input function using cluster analysis Magn Reson Med 55 524-1078
[9]  
Buckley DL(2010)A fully automated method for quantitative cerebral hemodynamic analysis using DSC–MRI J Cereb Blood Flow Metab 30 1066-1000
[10]  
Evelhoch JL(2006)Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI Magn Reson Med 56 993-399