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1. Keenan KE, Ainslie M, Barker AJ, Boss MA, Cecil KM, Charles C, Chenevert TL, Clarke L, Evelhoch JL, Finn P, Gembris D, Gunter JL, Hill DLG, Jack jr CR, Jackson EF, Liu G, Russek SE, Sharma SD, Steckner M, Stupic KF, Trzasko JD, Yuan C and Zheng J. Quantitative Magnetic Resonance Imaging Phantoms: A Review and the Need for a System Phantom. MRM 79:48-61, 2018. DOI 10.1002/mrm.26982 [doi]
2. Mushtaha FN, Kuehn TK, El-Deeb O, Rohani SA, Helpard LW, Moore J, Ladak H, Moehring A, Baron CA and Khan AR. Design and characterization of a 3D-printed axon-mimetic phantom for diffusion MRI. Magn Reson Med, 86: 2482-2496, 2021. DOI: 10.1002/mrm.28886 [doi]
3. Fan Q, Nummenmaa A, Wichtmann B, Witzel T, Mekkaoui C, Schneider W, Wald LL and Huang SY. Validation of diffusion MRI estimates of compartment size and volume fraction in a biomimetic brain phantom using a human MRI scanner with 300 mT/m maximum gradient strength. NeuroImage, Vol 182, 2018. https://doi.org/10.1016/j.neuroimage.2018.01.004 [doi]
4. Simard N, Fernback AD, Konyer NB, Noseworthy MD. Assessing Measurement consistency of a diffusion tensor imaging (DTI) quality control (QC) anisotropy phantom. Magnetic Resonance Materials in Physics, Biology and Medicine. 2025 https://doi.org/10.1007/s10334-025-01244-4 [doi]
5. Stephens L, Kerins F, Konyer N, Noseworthy M. Assessing Measurement consistency of a novel anisotropic phantom for higher order diffusion tensor MRI sequences. ESMRM 2025.