Ma D, Gulani V, Seiberlich N, Liu K, Sunshine JL, Duerk JL, Griswold MA (2013) Magnetic resonance fingerprinting. Nature 495:187–92

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hagiwara A, Fujita S, Ohno Y, Aoki S (2020) Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence. Invest Radiol 55(9):601–616

Article  PubMed  PubMed Central  Google Scholar 

Keenan KE, Gimbutas Z, Dienstfrey A, Stupic KF (2019) Assessing effects of scanner upgrades for clinical studies. J Magn Reson Imaging 50:1948–1954. https://doi.org/10.1002/jmri.26785

Article  PubMed  Google Scholar 

Keenan KE, Delfino JG, Jordanova KV, Poorman ME, Chirra P, Chaudhari AS, Baessler B, Winfield J, Viswanath SE, deSouza NM (2022) Challenges in ensuring the generalizability of image quantitation methods for mri. Med Phys 49(4):2820–2835

Article  PubMed  Google Scholar 

Keenan KE, Gimbutas Z, Dienstfrey A, Stupic KF, Boss MA, Russek SE, Chenevert TL, Prasad PV, Guo J, Reddick WE, Cecil KM, Shukla-Dave A, Nunez DA, Konar AS, Liu MZ, Jambawalikar SR, Schwartz LH, Zheng J, Hu P, Jackson EF (2021) Multi-site, multi-platform comparison of mri t1 measurement using the system phantom. PloS One. https://doi.org/10.1371/JOURNAL.PONE.0252966

Article  PubMed  PubMed Central  Google Scholar 

Salluzzi M, McCreary CR, Gobbi DG, Lauzon ML, Frayne R (2022) Short-term repeatability and long-term reproducibility of quantitative mr imaging biomarkers in a single centre longitudinal study. NeuroImage. https://doi.org/10.1016/J.NEUROIMAGE.2022.119488

Article  PubMed  Google Scholar 

Cashmore MT, McCann AJ, Wastling SJ, McGrath C, Thornton J, Hall MG (2021) Clinical quantitative mri and the need for metrology. Br J Radiol 94:20201215. https://doi.org/10.1259/BJR.20201215/FORMAT/EPUB

Article  PubMed  PubMed Central  Google Scholar 

Alfaro-Almagro F, Jenkinson M, Bangerter NK, Andersson JL, Griffanti L, Douaud G, Sotiropoulos SN, Jbabdi S, Hernandez-Fernandez M, Vallee E, Vidaurre D, Webster M, McCarthy P, Rorden C, Daducci A, Alexander DC, Zhang H, Dragonu I, Matthews PM, Miller KL, Smith SM (2018) Image processing and quality control for the first 10,000 brain imaging datasets from uk biobank. Neuroimage 166:400–424. https://doi.org/10.1016/j.neuroimage.2017.10.034

Article  PubMed  Google Scholar 

Lee Y, Callaghan MF, Acosta-Cabronero J, Lutti A, Nagy Z (2019) Establishing intra- and inter-vendor reproducibility of t1 relaxation time measurements with 3t mri. Magn Reson Med 81:454–465. https://doi.org/10.1002/mrm.27421

Article  PubMed  Google Scholar 

Potvin O, Khademi A, Chouinard I, Farokhian F, Dieumegarde L, Leppert I, Hoge R, Rajah MN, Bellec P, Duchesne S (2019) Measurement variability following mri system upgrade. Front Neurol. https://doi.org/10.3389/fneur.2019.00726

Article  PubMed  PubMed Central  Google Scholar 

Chalavi S, Simmons A, Dijkstra H, Barker GJ, Reinders AS (2012) Quantitative and qualitative assessment of structural magnetic resonance imaging data in a two-center study. BMC Med Imaging 12:1–15

Article  Google Scholar 

Chung S, Kim D, Breton E, Axel L (2010) Rapid b1+ mapping using a preconditioning rf pulse with turboflash readout. Magn Reson Med 64(2):439–446

Article  PubMed  PubMed Central  Google Scholar 

Dupuis A, Chen Y, Hansen M, Chow K, Sun JEP, Badve C, Ma D, Griswold MA, Boyacioglu R (2024) Quantifying 3d mr fingerprinting (3d-mrf) reproducibility across subjects, sessions, and scanners automatically using mni atlases. Magn Reson Med. https://doi.org/10.1002/mrm.29983

Article  PubMed  Google Scholar 

Ma D, Jiang Y, Chen Y, McGivney D, Mehta B, Gulani V, Griswold M (2018) Fast 3d magnetic resonance fingerprinting for a whole-brain coverage. Magn Reson Med 79:2190–2197. https://doi.org/10.1002/mrm.26886

Article  PubMed  Google Scholar 

Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold MA (2014) Mr fingerprinting using fast imaging with steady state precession (fisp) with spiral readout. Magn Reson Med 74:1621–1631. https://doi.org/10.1002/mrm.25559

Article  CAS  PubMed  PubMed Central  Google Scholar 

Duan Q, van Gelderen P, Duyn J (2013) Improved bloch-siegert based b1 mapping by reducing off-resonance shift. NMR Biomed 26:1070–1078. https://doi.org/10.1002/nbm.2920

Article  PubMed  PubMed Central  Google Scholar 

Dupuis A, Bolding R, Chen Y, Boyacioglu R, Griswold MA. mrftools: a research framework for integrated design, simulation, acquisition, and reconstruction of magnetic resonance fingerprinting (mrf), Zenodo https://doi.org/10.5281/zenodo.10479682

Chow K, Kellman P, XH Prototyping image reconstruction and analysis with fire. In: Society for cardiovascular magnetic resonance 24th annual scientific sessions

McGivney D, Boyacioglu R, Jiang Y, Wang CY, Ma D, Griswold MA (2019) Towards continuous dictionary resolution in mr fingerprinting using a quadratic inner product model. Int Soc Magn Reson Imaging Proc 81:4526

Google Scholar 

Dupuis A, Chen Y, Griswold MA, Boyacioglu R. Creation of voxelwise 2d lookup tables (luts) for mrf-based synthesis of qualitative images. In: International society of magnetic resonance imaging annual meeting

Jenkinson M, Bannister P, Brady M, Smith S (2002) Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17:825–841. https://doi.org/10.1016/S1053-8119(02)91132-8

Article  PubMed  Google Scholar 

Heckert NA, Filliben JJ (2003) Nist handbook 148: Dataplot reference manual, volume 2: Let subcommands and library functions 6 (2003)

Dupuis A, Chen Y, Griswold M, Boyacioglu R. Python code for repeatability of 3d mr fingerprinting during scanner software upgrades, Zenodo https://doi.org/10.5281/zenodo.10480341

Dupuis A, Chen Y, Griswold MA, Boyacioglu R. Magnetic resonance fingerprinting datasets of healthy brains at 3.0t before and after software upgrades, Zenodo https://doi.org/10.5281/zenodo.10480300