Optimal location for arterial input function measurements near the middle cerebral artery in first-pass perfusion MRI

被引:46
作者
Bleeker, Egbert J. W. [1 ]
van Buchem, Mark A. [1 ]
van Osch, Matthias J. P. [1 ]
机构
[1] Leiden Univ, Med Ctr, CJ Gorter Ctr High Field MRI, Dept Radiol, NL-2300 RC Leiden, Netherlands
关键词
arterial input function; cerebral perfusion; DSC-MRI; MRI contrast agents; quantification; SUSCEPTIBILITY CONTRAST MRI; BLOOD-FLOW; VOLUME; MODEL; TIME; QUANTIFICATION; SIMULATIONS; ACQUISITION; RELAXATION; RELAXIVITY;
D O I
10.1038/jcbfm.2008.155
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
One of the main difficulties in obtaining quantitative perfusion values from dynamic susceptibility contrast-magnetic resonance imaging is a correct arterial input function (AIF) measurement, as partial volume effects can lead to an erroneous shape and amplitude of the AIF. Cerebral blood flow and volume scale linearly with the area under the AIF, but shape changes of the AIF can lead to large, nonlinear errors. Current manual and automated AIF selection procedures do not guarantee the exclusion of partial volume effects from AIF measurements. This study uses a numerical model, validated by phantom experiments, for predicting the optimal location for AIF measurements in the vicinity of the middle cerebral artery (MCA). Three different sequences were investigated and evaluated on a voxel-by-voxel basis by comparison with the ground truth. Subsequently, the predictions were evaluated in an in vivo example. The findings are fourfold: AIF measurements should be performed in voxels completely outside the artery, here a linear relation should be assumed between Delta R-2* and the concentration contrast agent, the exact optimal location differs per acquisition type, and voxels including a small MCA yield also correct AIF measurements for segmented echo planar imaging when a short echo time was used.
引用
收藏
页码:840 / 852
页数:13
相关论文
共 37 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., 1998, Proceedings of the ISMRM 6th Scientific Meeting and Exhibition, P1197
[3]   NUMERICAL-ANALYSIS OF THE MAGNETIC-FIELD FOR ARBITRARY MAGNETIC-SUSCEPTIBILITY DISTRIBUTIONS IN 3D [J].
BHAGWANDIEN, R ;
MOERLAND, MA ;
BAKKER, CJG ;
BEERSMA, R ;
LAGENDIJK, JJW .
MAGNETIC RESONANCE IMAGING, 1994, 12 (01) :101-107
[4]  
Calamante F, 2000, MAGN RESON MED, V44, P466, DOI 10.1002/1522-2594(200009)44:3<466::AID-MRM18>3.0.CO
[5]  
2-M
[6]  
CALAMANTE F, 2007, P INT SOC MAG RESON, V15, P593
[7]   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
[8]   Automatic calculation of the arterial input function for cerebral perfusion imaging with MR imaging [J].
Carroll, TJ ;
Rowley, HA ;
Haughton, VM .
RADIOLOGY, 2003, 227 (02) :593-600
[9]   Measurement of arterial input functions for dynamic susceptibility contrast magnetic resonance imaging using echoplanar images: Comparison of physical simulations with in vivo results [J].
Duhamel, G ;
Schlaug, G ;
Alsop, DC .
MAGNETIC RESONANCE IN MEDICINE, 2006, 55 (03) :514-523
[10]   Pulsed star labeling of arterial regions (PULSAR): A robust regional perfusion technique for high field imaging [J].
Golay, X ;
Petersen, ET ;
Hui, F .
MAGNETIC RESONANCE IN MEDICINE, 2005, 53 (01) :15-21