MRI MULTIPARAMETRIC HEMODYNAMIC CHARACTERIZATION OF THE NORMAL BRAIN

被引:5
作者
Artzi, M. [1 ,2 ]
Aizenstein, O. [1 ]
Abramovitch, R. [3 ]
Ben Bashat, D. [1 ,2 ]
机构
[1] Tel Aviv Univ, Tel Aviv Sourasky Med Ctr, Wohl Inst Adv Imaging, Funct Brain Ctr, IL-69978 Tel Aviv, Israel
[2] Tel Aviv Univ, Sackler Fac Med, IL-69978 Tel Aviv, Israel
[3] Hadassah Hebrew Univ, Med Ctr, Goldyne Savad Inst Gene Therapy, Jerusalem, Israel
关键词
hemodynamic imaging; multiparametric segmentation; dynamic susceptibility contrast; hypercapnia; carbogen; CEREBRAL-BLOOD-FLOW; HYPERCAPNIC GAS-MIXTURE; LEVEL-DEPENDENT MRI; CEREBROVASCULAR REACTIVITY; CAROTID STENOSIS; BOLD MRI; QUANTITATIVE MEASUREMENT; PERFUSION IMAGES; ENHANCED MRI; OXYGENATION;
D O I
10.1016/j.neuroscience.2013.03.004
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Characterization of the brain's vascular system is of major clinical importance in the assessment of patients with cerebrovascular disease. The aim of this study was to characterize brain hemodynamics using multiparametric methods and to obtain reference values from the healthy brain. A multimodal magnetic resonance imaging (MRI) study was performed in twenty healthy subjects, including dynamic susceptibility contrast imaging and blood oxygen level dependence (BOLD) during hypercapnia and carbogen challenges. Brain tissues were defined using unsupervised cluster analysis based on these three methods, and several hemodynamic parameters were calculated for gray matter (GM), white matter (WM), blood vessels and dura (BVD); the three main vascular territories within the GM; and arteries and veins defined within the BVD cluster. The carbogen challenge produced a BOLD signal twice as high as the hypercapnia challenge, in all brain tissues. The three brain tissues differed significantly from each other in their hemodynamic characteristics, supporting the graded vascularity of the tissues, with BVD > GM > WM. Within the GM cluster, a significant delay of similar to 1.2s of the bolus arrival time was detected within the posterior cerebral artery territory relative to the middle and anterior cerebral artery territories. No differences were detected between right and left middle cerebral artery territories for all hemodynamic parameters. Within the BVD cluster, a significant delay of similar to 1.9 s of the bolus arrival time was detected within the veins relative to the arteries. This parameter enabled to differentiate between the various blood vessels, including arteries, veins and choroid plexus. This study provides reference values for several hemodynamic parameters, obtained from healthy brains, and may be clinically important in the assessment of patients with various vascular pathologies. (C) 2013 IBRO. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:269 / 276
页数:8
相关论文
共 50 条
[1]  
Abramovitch R, 1999, CANCER RES, V59, P5012
[2]   Halofuginone inhibits angiogenesis and growth in implanted metastatic rat brain tumor model - an MRI study [J].
Abramovitch, R ;
Itzik, A ;
Harel, H ;
Nagler, A ;
Vlodavsky, I ;
Siegal, T .
NEOPLASIA, 2004, 6 (05) :480-489
[3]   Unsupervised multiparametric classification of dynamic susceptibility contrast imaging: Study of the healthy brain [J].
Artzi, M. ;
Aizenstein, O. ;
Hendler, T. ;
Ben Bashat, D. .
NEUROIMAGE, 2011, 56 (03) :858-864
[4]   IMPROVEMENT OF BRAIN TISSUE OXYGENATION BY INHALATION OF CARBOGEN [J].
Ashkanian, M. ;
Borghammer, P. ;
Gjedde, A. ;
Ostergaard, L. ;
Vafaee, M. .
NEUROSCIENCE, 2008, 156 (04) :932-938
[5]   Hemodynamic Response Imaging: A Potential Tool for the Assessment of Angiogenesis in Brain Tumors [J].
Ben Bashat, Dafna ;
Artzi, Moran ;
Ben Ami, Haim ;
Aizenstein, Orna ;
Blumenthal, Deborah T. ;
Bokstein, Felix ;
Corn, Benjamin W. ;
Ram, Zvi ;
Kanner, Avraham A. ;
Lifschitz-Mercer, Biatris ;
Solar, Irit ;
Kolatt, Tsafrir ;
Palmon, Mika ;
Edrei, Yifat ;
Abramovitch, Rinat .
PLOS ONE, 2012, 7 (11)
[6]   Quantitative measurement of cerebral physiology using respiratory-calibrated MRI [J].
Bulte, D. P. ;
Kelly, M. ;
Germuska, M. ;
Xie, J. ;
Chappell, M. A. ;
Okell, T. W. ;
Bright, M. G. ;
Jezzard, P. .
NEUROIMAGE, 2012, 60 (01) :582-591
[7]   Measuring cerebral blood flow using magnetic resonance imaging techniques [J].
Calamante, F ;
Thomas, DL ;
Pell, GS ;
Wiersma, J ;
Turner, R .
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 1999, 19 (07) :701-735
[8]   Imaging Brain Oxygenation with MRI Using Blood Oxygenation Approaches: Methods, Validation, and Clinical Applications [J].
Christen, T. ;
Bolar, D. S. ;
Zaharchuk, G. .
AMERICAN JOURNAL OF NEURORADIOLOGY, 2013, 34 (06) :1113-1123
[9]   Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence [J].
Farr, Tracy D. ;
Wegener, Susanne .
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 2010, 30 (04) :703-717
[10]   Magnetic resonance imaging of resting OEF and CMRO2 using a generalized calibration model for hypercapnia and hyperoxia [J].
Gauthier, C. J. ;
Hoge, R. D. .
NEUROIMAGE, 2012, 60 (02) :1212-1225