Models and methods for analyzing DCE-MRI: A review

被引:242
作者
Khalifa, Fahmi [1 ,2 ]
Soliman, Ahmed [1 ]
El-Baz, Ayman [1 ]
Abou El-Ghar, Mohamed [3 ]
El-Diasty, Tarek [3 ]
Gimel'farb, Georgy [4 ]
Ouseph, Rosemary [5 ]
Dwyer, Amy C. [5 ]
机构
[1] Univ Louisville, Dept Bioengn, BioImaging Lab, Louisville, KY 40292 USA
[2] Mansoura Univ, Elect & Commun Engn Dept, Mansoura 35516, Egypt
[3] Mansoura Univ, Urol & Nephrol Ctr, Dept Radiol, Mansoura 35516, Egypt
[4] Univ Auckland, Dept Comp Sci, Auckland 1142, New Zealand
[5] Univ Louisville, Kidney Transplantat Kidney Dis Ctr, Louisville, KY 40202 USA
关键词
DCE-MRI; pharmacokinetic; dynamic perfusion; contrast agent; arterial input function; CONTRAST-ENHANCED-MRI; ARTERIAL INPUT FUNCTION; DYNAMIC GD-DTPA; MYOCARDIAL-PERFUSION RESERVE; BRAIN-BARRIER PERMEABILITY; TRANSCYTOLEMMAL WATER EXCHANGE; POSITRON-EMISSION-TOMOGRAPHY; GLOMERULAR-FILTRATION-RATE; TISSUE HOMOGENEITY MODEL; ADVANCED BREAST-CANCER;
D O I
10.1118/1.4898202
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
Purpose: To present a review of most commonly used techniques to analyze dynamic contrastenhanced magnetic resonance imaging (DCE-MRI), discusses their strengths and weaknesses, and outlines recent clinical applications of findings from these approaches. Methods: DCE-MRI allows for noninvasive quantitative analysis of contrast agent (CA) transient in soft tissues. Thus, it is an important and well-established tool to reveal microvasculature and perfusion in various clinical applications. In the last three decades, a host of nonparametric and parametric models and methods have been developed in order to quantify the CA's perfusion into tissue and estimate perfusion-related parameters (indexes) from signal-or concentration-time curves. These indexes are widely used in various clinical applications for the detection, characterization, and therapy monitoring of different diseases. Results: Promising theoretical findings and experimental results for the reviewed models and techniques in a variety of clinical applications suggest that DCE-MRI is a clinically relevant imaging modality, which can be used for early diagnosis of different diseases, such as breast and prostate cancer, renal rejection, and liver tumors. Conclusions: Both nonparametric and parametric approaches for DCE-MRI analysis possess the ability to quantify tissue perfusion. (C) 2014 American Association of Physicists in Medicine.
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页数:32
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