Literature DB >> 19449381

A new approach to analysis of the impulse response function (IRF) in dynamic contrast-enhanced MRI (DCEMRI): a simulation study.

Xiaobing Fan1, Gregory S Karczmar.   

Abstract

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. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19449381      PMCID: PMC2927981          DOI: 10.1002/mrm.21995

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  24 in total

1.  Quantification of bolus-tracking MRI: Improved characterization of the tissue residue function using Tikhonov regularization.

Authors:  Fernando Calamante; David G Gadian; Alan Connelly
Journal:  Magn Reson Med       Date:  2003-12       Impact factor: 4.668

2.  Perfusion quantification using Gaussian process deconvolution.

Authors:  I K Andersen; A Szymkowiak; C E Rasmussen; L G Hanson; J R Marstrand; H B W Larsson; L K Hansen
Journal:  Magn Reson Med       Date:  2002-08       Impact factor: 4.668

Review 3.  Cerebral perfusion imaging by bolus tracking.

Authors:  Leif Østergaard
Journal:  Top Magn Reson Imaging       Date:  2004-02

4.  Dynamic contrast-enhanced magnetic resonance imaging reveals stress-induced angiogenesis in MCF7 human breast tumors.

Authors:  E Furman-Haran; R Margalit; D Grobgeld; H Degani
Journal:  Proc Natl Acad Sci U S A       Date:  1996-06-25       Impact factor: 11.205

Review 5.  Dynamic contrast-enhanced MRI in the diagnosis and management of breast cancer.

Authors:  Lindsay W Turnbull
Journal:  NMR Biomed       Date:  2009-01       Impact factor: 4.044

6.  Measurement of the arterial concentration of Gd-DTPA using MRI: a step toward quantitative perfusion imaging.

Authors:  T Fritz-Hansen; E Rostrup; H B Larsson; L Søndergaard; P Ring; O Henriksen
Journal:  Magn Reson Med       Date:  1996-08       Impact factor: 4.668

7.  Dynamic contrast-enhanced MRI using Gd-DTPA: interindividual variability of the arterial input function and consequences for the assessment of kinetics in tumors.

Authors:  R E Port; M V Knopp; G Brix
Journal:  Magn Reson Med       Date:  2001-06       Impact factor: 4.668

8.  New model for analysis of dynamic contrast-enhanced MRI data distinguishes metastatic from nonmetastatic transplanted rodent prostate tumors.

Authors:  Xiaobing Fan; Milica Medved; Jonathan N River; Marta Zamora; Claire Corot; Philippe Robert; Philippe Bourrinet; Martin Lipton; Rita M Culp; Gregory S Karczmar
Journal:  Magn Reson Med       Date:  2004-03       Impact factor: 4.668

9.  Semiquantitative analysis of dynamic contrast enhanced MRI in cancer patients: Variability and changes in tumor tissue over time.

Authors:  Milica Medved; Greg Karczmar; Cheng Yang; James Dignam; Thomas F Gajewski; Hedy Kindler; Everett Vokes; Peter MacEneany; Myrosia T Mitchell; Walter M Stadler
Journal:  J Magn Reson Imaging       Date:  2004-07       Impact factor: 4.813

10.  Dynamic MR imaging of the breast. Analysis of kinetic and morphologic diagnostic criteria.

Authors:  B K Szabó; P Aspelin; M Kristoffersen Wiberg; B Boné
Journal:  Acta Radiol       Date:  2003-07       Impact factor: 1.701

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  2 in total

1.  Impairment of the glymphatic system after diabetes.

Authors:  Quan Jiang; Li Zhang; Guangliang Ding; Esmaeil Davoodi-Bojd; Qingjiang Li; Lian Li; Neema Sadry; Maiken Nedergaard; Michael Chopp; Zhenggang Zhang
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

2.  Use of a reference tissue and blood vessel to measure the arterial input function in DCEMRI.

Authors:  Xiaobing Fan; Chad R Haney; Devkumar Mustafi; Cheng Yang; Marta Zamora; Erica J Markiewicz; Gregory S Karczmar
Journal:  Magn Reson Med       Date:  2010-12       Impact factor: 4.668

  2 in total

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