562-02-002 ISMRM Abstract

Voxel-wise Variability in Breast DCE-MRI: Monte Carlo Comparison of Patlak, ETM-FXL, and ETM-NXL Pharmacokinetic Models

Primary: Contrast Mechanisms - Perfusion

Secondary: Analysis Methods - Data Processing

562-02-002 · Breast MRI and the Role of AI · Wednesday, 13 May, 9:15 AM–10:10 AM · Digital Posters Row C

Keywords: Breast cancer DCE-MRI SNR Monte carlo simulation Voxel-wise variability

Accepted

Rachaita Podder ¹, Sai Man Cheung¹, Kangwa A Nkonde¹, Andrew Blamire¹, Jiabao He¹

¹Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom

Presenting Author: Rachaita Podder

Synopsis

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References

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2. Patlak CS, Blasberg RG, Fenstermacher JD. Graphical Evaluation of Blood-to-Brain Transfer Constants from Multiple-Time Uptake Data. Journal of Cerebral Blood Flow & Metabolism. 1983 Mar;3(1):1–7. doi: 10.1038/jcbfm.1983.1. [doi]

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6. Pintaske J, Martirosian P, Graf H, Erb G, Lodemann KP, Claussen CD, et al. Relaxivity of Gadopentetate Dimeglumine (Magnevist), Gadobutrol (Gadovist), and Gadobenate Dimeglumine (MultiHance) in Human Blood Plasma at 0.2, 1.5, and 3 Tesla. Investigative Radiology. 2006 Mar;41(3):213–21. doi: 10.1097/01.rli.0000197668.44926.f7. [doi]

7. Li X, Huang W, Morris EA, Tudorica LA, Seshan VE, Rooney WD, et al. Dynamic NMR effects in breast cancer dynamic-contrast-enhanced MRI. Proceedings of the National Academy of Sciences. 2008 Nov 18;105(46):17937–42. doi: 10.1073/pnas.0804224105. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/562-02-002