Analysis of Partial Volume Effects on Arterial Input Functions Using Gradient Echo: A Simulation Study

被引:41
作者
Kjolby, Birgitte F. [1 ]
Mikkelsen, Irene K. [1 ]
Pedersen, Michael [3 ]
Ostergaard, Leif [1 ]
Kiselev, Valerij G. [2 ]
机构
[1] Aarhus Univ Hosp, Dept Neuroradiol, Ctr Funct Integrat Neurosci CFIN, DK-8000 Aarhus C, Denmark
[2] Univ Hosp Freiburg, Dept Diagnost Radiol, Freiburg, Germany
[3] Aarhus Univ Hosp, Inst Clin Med, MR Res Ctr, DK-8000 Aarhus, Denmark
基金
新加坡国家研究基金会;
关键词
perfusion measurement; dynamic susceptibility contrast; quantification of perfusion parameters; AIF; relaxation; CEREBRAL-BLOOD-FLOW; SUSCEPTIBILITY CONTRAST MRI; SINGULAR-VALUE DECOMPOSITION; PERFUSION MRI; CLUSTER-ANALYSIS; QUANTIFICATION; RELAXATION; OXYGENATION; DISPERSION; STROKE;
D O I
10.1002/mrm.21849
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Absolute blood flow and blood volume measurements using perfusion weighted MRI require an accurately measured arterial input function (AIF). Because of limited spatial resolution of MR images, AIF voxels cannot be placed completely within a feeding artery. We present a two-compartment model of an AIF voxel including the relaxation properties of blood and tissue. Artery orientations parallel and perpendicular to the main magnetic field were investigated and AIF voxels were modeled to either include or be situated close to a large artery. The impact of partial volume effects on quantitative perfusion metrics was investigated for the gradient echo pulse sequence at 1.5 T and 3.0 T. It is shown that the tissue contribution broadens and introduces fluctuations in the AIR Furthermore, partial volume effects bias perfusion metrics in a nonlinear fashion, compromising quantitative perfusion estimates and profoundly effecting local AIF selection. Magn Reson Med 61:1300-1309, 2009. (C) 2009 Wiley-Liss, Inc.
引用
收藏
页码:1300 / 1309
页数:10
相关论文
共 41 条
[1]   Arterial input functions from MR phase imaging [J].
Akbudak, E ;
Conturo, TE .
MAGNETIC RESONANCE IN MEDICINE, 1996, 36 (06) :809-815
[2]  
Akbudak E, 2004, ISMRM WORKSH QUANT C, P10
[3]  
Alsop D., 2002, PROCEEDING 10 ANN M, P659
[4]   Bolus delay and dispersion in perfusion MRI: Implications for tissue predictor models in stroke [J].
Calamante, F ;
Willats, L ;
Gadian, DG ;
Connelly, A .
MAGNETIC RESONANCE IN MEDICINE, 2006, 55 (05) :1180-1185
[5]   Defining a local arterial input function for perfusion MRI using independent component analysis [J].
Calamante, F ;
Morup, M ;
Hansen, LK .
MAGNETIC RESONANCE IN MEDICINE, 2004, 52 (04) :789-797
[6]   Quantification of perfusion using bolus tracking magnetic resonance imaging in stroke - Assumptions, limitations, and potential implications for clinical use [J].
Calamante, F ;
Gadian, DG ;
Connelly, A .
STROKE, 2002, 33 (04) :1146-1151
[7]  
Calamante F, 2000, MAGN RESON MED, V44, P466, DOI 10.1002/1522-2594(200009)44:3<466::AID-MRM18>3.0.CO
[8]  
2-M
[9]   Contrast agent concentration measurements affecting quantification of bolus-tracking perfusion MRI [J].
Calamante, Fernando ;
Vonken, Evert-jan P. A. ;
van Osch, Matthias J. P. .
MAGNETIC RESONANCE IN MEDICINE, 2007, 58 (03) :544-553
[10]   The impact of partial-volume effects in dynamic susceptibility contrast magnetic resonance perfusion imaging [J].
Chen, JJ ;
Smith, MR ;
Frayne, R .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2005, 22 (03) :390-399