Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
462-06-012 ISMRM Abstract

Blind estimation versus direct measurement of the arterial input function in dynamic contrast-enhanced MRI of the breast

Primary: Contrast Mechanisms - Perfusion
Secondary: Body - Breast
462-06-012 · Breast MRI: Technical Developments · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row C
Keywords: Perfusion Breast cancer Quantitative MRI Dynamic contrast enhanced MRI Arterial Input Function (AIF)
Accepted
Jake L Cray1, Jiří Vitouš2, Radovan Jiřík2, Sofya Titarenko3, David L Buckley 1
1Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
2Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
3School of Mathematics, University of Leeds, Leeds, United Kingdom
Presenting Author: David L Buckley

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References

1. Calamante F. Arterial input function in perfusion MRI: a comprehensive review. Prog Nucl Magn Reson Spectrosc 2013;74:1-32 doi:10.1016/j.pnmrs.2013.04.002. [doi]
2. Georgiou L, Wilson DJ, Sharma N, Perren TJ, Buckley DL. A functional form for a representative individual arterial input function measured from a population using high temporal resolution DCE MRI. Magn Reson Med 2019;81(3):1955-1963 doi:10.1002/mrm.27524. [doi]
3. Port RE, Knopp MV, Brix G. Dynamic contrast-enhanced MRI using Gd-DTPA: Interindividual variability of the arterial input function and consequences for the assessment of kinetics in tumors. Magn Reson Med 2001;45(6):1030-1038 doi:10.1002/mrm.1137. [doi]
4. Fluckiger JU, Schabel MC, Dibella EV. Model-based blind estimation of kinetic parameters in dynamic contrast enhanced (DCE)-MRI. Magn Reson Med 2009;62(6):1477-1486 doi:10.1002/mrm.22101. [doi]
5. Yang C, Karczmar GS, Medved M, Oto A, Zamora M, Stadler WM. Reproducibility assessment of a multiple reference tissue method for quantitative dynamic contrast enhanced-MRI analysis. Magn Reson Med 2009;61(4):851-859 doi:10.1002/mrm.21912. [doi]
6. Jiřík R, Taxt T, Macíček O, et al. Blind deconvolution estimation of an arterial input function for small animal DCE-MRI. Magn Reson Imaging 2019;62:46-56 doi:10.1016/j.mri.2019.05.024. [doi]
7. Stevens W, Farrow IM, Georgiou L, et al. Breast tumour volume and blood flow measured by MRI after one cycle of epirubicin and cyclophosphamide-based neoadjuvant chemotherapy as predictors of pathological response. Br J Radiol 2021;94:20201396 doi:10.1259/bjr.20201396. [doi]
8. Horsfield MA, Thornton JS, Gill A, Jager HR, Priest AN, Morgan B. A functional form for injected MRI Gd-chelate contrast agent concentration incorporating recirculation, extravasation and excretion. Phys Med Biol 2009;54(9):2933-2949 doi:10.1088/0031-9155/54/9/023. [doi]
9. Sourbron SP, Buckley DL. Classic models for dynamic contrast-enhanced MRI. NMR Biomed 2013;26(8):1004-1027 doi:10.1002/nbm.2940. [doi]

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http://echo.ismrm.org/p/ISMRM2026/462-06-012