A New Approach to Analysis of the Impulse Response Function (IRF) in Dynamic Contrast-Enhanced MRI (DCEMRI): A Simulation Study

被引:10
作者
Fan, Xiaobing [1 ]
Karczmar, Gregory S. [1 ]
机构
[1] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA
关键词
deconvolution; impulse response function; perfusion; DCE-MRI; arterial input function; ARTERIAL INPUT FUNCTION; RODENT PROSTATE TUMORS; REFERENCE TISSUES; BREAST-CANCER; GD-DTPA; DIAGNOSIS; PERFUSION; MODEL; QUANTIFICATION; DISTINGUISHES;
D O I
10.1002/mrm.21995
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
The purpose of this research was to develop a novel numerical procedure to deconvolute the arterial input function (AIF) from contrast concentration vs. time curves and to obtain the impulse response functions (IRFs) from dynamic contrast-enhanced MRI (DCEMRI) data. Numerical simulations were performed to study variations of contrast concentration vs. time curves and the corresponding IRFs. The simulated contrast media concentration curves were generated by varying the parameters of an empirical mathematical model (EMM) within reasonable ranges based on a previous experimental study. The AIF was calculated from plots of contrast media concentration vs. time in muscle under assumption that they are well approximated by the "two-compartment model" (TCM). A general simple mathematical model of the IRF was developed, and the physiological meaning of the model parameters was determined by comparing them with the widely accepted TCM. The results demonstrate that the deconvolution procedure developed in this research is a simple, robust, and useful technique. In addition, "impulse response analysis" leads to the derivation of novel parameters relating to tumor vascular architecture, and these new parameters may have clinical utility. Magn Reson Med 62:229-239, 2009. (C) 2009 Wiley-Liss, Inc.
引用
收藏
页码:229 / 239
页数:11
相关论文
共 28 条
[1]   Perfusion quantification using Gaussian process deconvolution [J].
Andersen, IK ;
Szymkowiak, A ;
Rasmussen, CE ;
Hanson, LG ;
Marstrand, JR ;
Larsson, HBW ;
Hansen, LK .
MAGNETIC RESONANCE IN MEDICINE, 2002, 48 (02) :351-361
[2]   Quantification of bolus-tracking MRI: Improved characterization of the tissue residue function using Tikhonov regularization [J].
Calamante, F ;
Gadian, DG ;
Connelly, A .
MAGNETIC RESONANCE IN MEDICINE, 2003, 50 (06) :1237-1247
[3]   Multi-slice DCE-MRI data using P760 distinguishes between metastatic and non-metastatic rodent prostate tumors [J].
Fan, XB ;
Medved, M ;
Foxley, S ;
River, JN ;
Zamora, M ;
Karczmar, GS ;
Corot, C ;
Robert, P ;
Bourrinet, P .
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 2006, 19 (01) :15-21
[4]   New model for analysis of dynamic contrast-enhanced MRI data distinguishes metastatic from nonmetastatic transplanted rodent prostate tumors [J].
Fan, XB ;
Medved, M ;
River, JN ;
Zamora, M ;
Corot, C ;
Robert, P ;
Bourrinet, P ;
Lipton, M ;
Culp, RM ;
Karczmar, GS .
MAGNETIC RESONANCE IN MEDICINE, 2004, 51 (03) :487-494
[5]   Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI [J].
Fan, Xiaobing ;
Medved, Milica ;
Karczmar, Gregory S. ;
Yang, Cheng ;
Foxley, Sean ;
Arkani, Sanaz ;
Recant, Wendy ;
Zamora, Marta A. ;
Abe, Hiroyuki ;
Newstead, Gillian M. .
MAGNETIC RESONANCE IMAGING, 2007, 25 (05) :593-603
[6]   Measurement of the arterial concentration of Gd-DTPA using MRI: A step toward quantitative perfusion imaging [J].
FritzHansen, T ;
Rostrup, E ;
Larsson, HBW ;
Sondergaard, L ;
Ring, P ;
Henriksen, O .
MAGNETIC RESONANCE IN MEDICINE, 1996, 36 (02) :225-231
[7]   Dynamic contrast-enhanced magnetic resonance imaging reveals stress-induced angiogenesis in MCF7 human breast tumors [J].
FurmanHaran, E ;
Margalit, R ;
Grobgeld, D ;
Degani, H .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1996, 93 (13) :6247-6251
[8]   Pure ductal carcinoma in situ: Kinetic and morphologic MR characteristics compared with mammographic appearance and nuclear grade [J].
Jansen, Sanaz A. ;
Newstead, Gillian M. ;
Abe, Hiroyuki ;
Shimauchi, Akiko ;
Schmidt, Robert A. ;
Karczmar, Gregory S. .
RADIOLOGY, 2007, 245 (03) :684-691
[9]   A new method for imaging perfusion and contrast extraction fraction: Input functions derived from reference tissues [J].
Kovar, DA ;
Lewis, M ;
Karczmar, GS .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 1998, 8 (05) :1126-1134
[10]   Dynamic breast MR imaging: Are signal intensity time course data useful for differential diagnosis of enhancing lesions? [J].
Kuhl, CK ;
Mielcareck, P ;
Klaschik, S ;
Leutner, C ;
Wardelmann, E ;
Gieseke, J ;
Schild, HH .
RADIOLOGY, 1999, 211 (01) :101-110