Literature DB >> 21394770

Extended graphical model for analysis of dynamic contrast-enhanced MRI.

Huijun Chen1, Feiyu Li, Xihai Zhao, Chun Yuan, Brian Rutt, William S Kerwin.   

Abstract

Kinetic analysis with mathematical models has become increasingly important to quantify physiological parameters in computed tomography (CT), positron emission tomography (PET), and dynamic contrast-enhanced MRI (DCE-MRI). The modified Kety/Tofts model and the graphical (Patlak) model have been widely applied to DCE-MRI results in disease processes such as cancer, inflammation, and ischemia. In this article, an intermediate model between the modified Kety/Tofts and Patlak models is derived from a mathematical expansion of the modified Kety/Tofts model. Simulations and an in vivo experiment involving DCE-MRI of carotid atherosclerosis were used to compare the new extended graphical model with the modified Kety/Tofts model and the Patlak model. In our simulated circumstances and the carotid artery application, we found that the extended graphical model exhibited lower noise sensitivity and provided more accurate estimates of the volume transfer constant (K(trans)) and fractional plasma volume (v(p)) than the modified Kety/Tofts model for DCE-MRI acquisitions of total duration less than 100-300 s, depending on kinetic parameters. In comparison with the Patlak model, we found that the extended graphical model exhibited 74.4-99.8% less bias in estimates of K(trans). Thus, the extended graphical model may allow kinetic modeling of DCE-MRI results with shortened data acquisition periods, without sacrificing accuracy in estimates of K(trans) and v(p).
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21394770     DOI: 10.1002/mrm.22819

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


  11 in total

1.  Water exchange-minimizing DCE-MRI protocol to detect changes in tumor vascular parameters: effect of bevacizumab/paclitaxel combination therapy.

Authors:  Wenlian Zhu; Yoshinori Kato; Dmitri Artemov
Journal:  MAGMA       Date:  2013-06-27       Impact factor: 2.310

2.  Atherosclerotic plaque inflammation quantification using dynamic contrast-enhanced (DCE) MRI.

Authors:  Huijun Chen; Tingting Wu; William S Kerwin; Chun Yuan
Journal:  Quant Imaging Med Surg       Date:  2013-12

3.  Dual energy computed tomography quantification of carotid plaques calcification: comparison between monochromatic and polychromatic energies with pathology correlation.

Authors:  Lorenzo Mannelli; Lawrence MacDonald; Marcello Mancini; Marina Ferguson; William P Shuman; Monica Ragucci; Serena Monti; Dongxiang Xu; Chun Yuan; Lee M Mitsumori
Journal:  Eur Radiol       Date:  2014-12-24       Impact factor: 5.315

4.  Voxel-wise quantification of myocardial perfusion by cardiac magnetic resonance. Feasibility and methods comparison.

Authors:  Niloufar Zarinabad; Amedeo Chiribiri; Gilion L T F Hautvast; Masaki Ishida; Andreas Schuster; Zoran Cvetkovic; Philip G Batchelor; Eike Nagel
Journal:  Magn Reson Med       Date:  2012-02-21       Impact factor: 4.668

5.  Relationship between particulate matter exposure and atherogenic profile in "Ground Zero" workers as shown by dynamic contrast enhanced MR imaging.

Authors:  Venkatesh Mani; Stephanie K Wong; Simonette T Sawit; Claudia Calcagno; Cynara Maceda; Sarayu Ramachandran; Zahi A Fayad; Jacqueline Moline; Mary Ann McLaughlin
Journal:  Int J Cardiovasc Imaging       Date:  2012-11-23       Impact factor: 2.357

6.  Three-dimensional dynamic contrast enhanced imaging of the carotid artery with direct arterial input function measurement.

Authors:  Jason Mendes; Dennis L Parker; Scott McNally; Ed DiBella; Bradley D Bolster; Gerald S Treiman
Journal:  Magn Reson Med       Date:  2013-12-24       Impact factor: 4.668

Review 7.  Dynamic Contrast-Enhanced MRI to Study Atherosclerotic Plaque Microvasculature.

Authors:  Raf H M van Hoof; Sylvia Heeneman; Joachim E Wildberger; M Eline Kooi
Journal:  Curr Atheroscler Rep       Date:  2016-06       Impact factor: 5.113

Review 8.  Vessel wall characterization using quantitative MRI: what's in a number?

Authors:  Bram F Coolen; Claudia Calcagno; Pim van Ooij; Zahi A Fayad; Gustav J Strijkers; Aart J Nederveen
Journal:  MAGMA       Date:  2017-08-14       Impact factor: 2.310

9.  Suitability of pharmacokinetic models for dynamic contrast-enhanced MRI of abdominal aortic aneurysm vessel wall: a comparison.

Authors:  V Lai Nguyen; M Eline Kooi; Walter H Backes; Raf H M van Hoof; Anne E C M Saris; Mirthe C J Wishaupt; Femke A M V I Hellenthal; Rob J van der Geest; Alfons G H Kessels; Geert Willem H Schurink; Tim Leiner
Journal:  PLoS One       Date:  2013-10-02       Impact factor: 3.240

10.  Scan-rescan reproducibility of quantitative assessment of inflammatory carotid atherosclerotic plaque using dynamic contrast-enhanced 3T CMR in a multi-center study.

Authors:  Huijun Chen; Jie Sun; William S Kerwin; Niranjan Balu; Moni B Neradilek; Daniel S Hippe; Daniel Isquith; Yunjing Xue; Kiyofumi Yamada; Suzanne Peck; Chun Yuan; Kevin D O'Brien; Xue-Qiao Zhao
Journal:  J Cardiovasc Magn Reson       Date:  2014-08-01       Impact factor: 5.364

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