Modeling Dynamic Contrast-Enhanced MRI Data with a Constrained Local AIF-Reference-Cited by-同舟云学术

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Modeling Dynamic Contrast-Enhanced MRI Data with a Constrained Local AIF

Published:2017-05-23 Issue:1 Volume:20 Page:150-159
ISSN:1536-1632
Container-title:Molecular Imaging and Biology
language:en
Short-container-title:Mol Imaging Biol

Author:

Duan Chong,Kallehauge Jesper F.,Pérez-Torres Carlos J.,Bretthorst G. Larry,Beeman Scott C.,Tanderup Kari,Ackerman Joseph J. H.,Garbow Joel R.

Funder

National Cancer Institute

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Link

http://link.springer.com/article/10.1007/s11307-017-1090-x/fulltext.html

Reference25 articles.

1. Tofts PS, Brix G, Buckley DL et al (1999) Estimating kinetic parameters from dynamic contrast-enhanced T1-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 10:223–232

2. Naish JH, Kershaw LE, Buckley DL et al (2009) Modeling of contrast agent kinetics in the lung using T1-weighted dynamic contrast-enhanced MRI. Magn Reson Med 61:1507–1514

3. Leuthardt EC, Duan C, Kim MJ et al (2016) Hyperthermic laser ablation of recurrent glioblastoma leads to temporary disruption of the peritumoral blood brain barrier. PLoS One 11:e0148613. doi: 10.1371/journal.pone.0148613

4. Sourbron SP, Buckley DL (2013) Classic models for dynamic contrast-enhanced MRI. NMR Biomed 26:1004–1027

5. Yankeelov TE, Lepage M, Chakravarthy A et al (2007) Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Magn Reson Imaging 25:1–13

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