Fundamentals of Tracer Kinetics for Dynamic Contrast-Enhanced MRI

被引:97
作者
Koh, Tong San [1 ,2 ,3 ]
Bisdas, Sotirios [4 ]
Koh, Dow Mu [5 ]
Thng, Choon Hua [1 ]
机构
[1] Natl Canc Ctr, Dept Oncol Imaging, Singapore 169610, Singapore
[2] Duke NUS Grad Med Sch, Ctr Quantitat Biol, Singapore, Singapore
[3] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
[4] Univ Tubingen, Dept Radiol, Tubingen, Germany
[5] Royal Marsden NHS Fdn Trust, Dept Radiol, Sutton, Surrey, England
关键词
dynamic contrast-enhanced MRI; tracer kinetic modeling; impulse residue function; deconvolution; ARTERIAL INPUT FUNCTION; CEREBRAL-BLOOD-FLOW; TISSUE HOMOGENEITY MODEL; TRANSCYTOLEMMAL WATER EXCHANGE; REFERENCE REGION MODEL; MONTE-CARLO METHOD; PHARMACOKINETIC ANALYSIS; GD-DTPA; DECONVOLUTION ANALYSIS; AGENT CONCENTRATION;
D O I
10.1002/jmri.22795
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
Tracer kinetic methods employed for quantitative analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) share common roots with earlier tracer studies involving arterial-venous sampling and other dynamic imaging modalities. This article reviews the essential foundation concepts and principles in tracer kinetics that are relevant to DCE MRI, including the notions of impulse response and convolution, which are central to the analysis of DCE MRI data. We further examine the formulation and solutions of various compartmental models frequently used in the literature. Topics of recent interest in the processing of DCE MRI data, such as the account of water exchange and the use of reference tissue methods to obviate the measurement of an arterial input, are also discussed. Although the primary focus of this review is on the tracer models and methods for T-1-weighted DCE MRI, some of these concepts and methods are also applicable for analysis of dynamic susceptibility contrast-enhanced MRI data.
引用
收藏
页码:1262 / 1276
页数:15
相关论文
共 109 条
[21]   Model-Based Blind Estimation of Kinetic Parameters in Dynamic Contrast Enhanced (DCE)-MRI [J].
Fluckiger, Jacob U. ;
Schabel, Matthias C. ;
DiBella, Edward V. R. .
MAGNETIC RESONANCE IN MEDICINE, 2009, 62 (06) :1477-1486
[22]   Reproducibility of dynamic contrast-enhanced MRI in human muscle and tumours: comparison of quantitative and semi-quantitative analysis [J].
Galbraith, SM ;
Lodge, MA ;
Taylor, NJ ;
Rustin, GJS ;
Bentzen, S ;
Stirling, JJ ;
Padhani, AR .
NMR IN BIOMEDICINE, 2002, 15 (02) :132-142
[23]   MR in oncology drug development [J].
Galbraith, Susan M. .
NMR IN BIOMEDICINE, 2006, 19 (06) :681-689
[24]   A Novel Estimation Method for Physiological Parameters in Dynamic Contrast-Enhanced MRI: Application of a Distributed Parameter Model Using Fourier-Domain Calculations [J].
Garpebring, Anders ;
Ostlund, Nils ;
Karlsson, Mikael .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2009, 28 (09) :1375-1383
[25]   CAPILLARY EXCHANGE MODELING - BARRIER-LIMITED AND FLOW-LIMITED DISTRIBUTION [J].
GORESKY, CA ;
ZIEGLER, WH ;
BACH, GG .
CIRCULATION RESEARCH, 1970, 27 (05) :739-&
[26]   Assessing changes in tumour vascular function using dynamic contrast-enhanced magnetic resonance imaging [J].
Hayes, C ;
Padhani, AR ;
Leach, MO .
NMR IN BIOMEDICINE, 2002, 15 (02) :154-163
[27]  
Hayton P, 1997, Med Image Anal, V1, P207, DOI 10.1016/S1361-8415(97)85011-6
[28]  
Henderson E, 2000, J MAGN RESON IMAGING, V12, P991, DOI 10.1002/1522-2586(200012)12:6<991::AID-JMRI26>3.3.CO
[29]  
2-T
[30]   MODEL DEPENDENCY AND ESTIMATION RELIABILITY IN MEASUREMENT OF CEREBRAL OXYGEN UTILIZATION RATE WITH O-15 AND DYNAMIC POSITRON EMISSION TOMOGRAPHY [J].
HUANG, SC ;
FENG, D ;
PHELPS, ME .
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 1986, 6 (01) :105-119