Editorial for “Scanner‐Independent MyoMapNet for Accelerated Cardiac MRI T1 Mapping Across Vendors and Field Strengths”

Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for “Scanner-Independent MyoMapNet for Accelerated Cardiac MRI T1 Mapping Across Vendors and Field Strengths” Lavanya Umapathy PhD, Corresponding Author Lavanya Umapathy PhD [email protected] orcid.org/0000-0002-7224-0930 Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona, USA Department of Medical Imaging, University of Arizona, Tucson, Arizona, USASearch for more papers by this author Lavanya Umapathy PhD, Corresponding Author Lavanya Umapathy PhD [email protected] orcid.org/0000-0002-7224-0930 Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona, USA Department of Medical Imaging, University of Arizona, Tucson, Arizona, USASearch for more papers by this author First published: 19 April 2023 https://doi.org/10.1002/jmri.28738 Evidence Level: 5 Technical Efficacy: Stage 2 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. References 1Moon JC, Messroghli DR, Kellman P, et al. Myocardial T1 mapping and extracellular volume quantification: A Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement. J Cardiovasc Magn Reson 2013; 15(1):92. https://doi.org/10.1186/1532-429X-15-92. 2Kellman P, Hansen MS. T1-mapping in the heart: Accuracy and precision. J Cardiovasc Magn Reson 2014; 16(1):2. https://doi.org/10.1186/1532-429X-16-2. 3Taylor AJ, Salerno M, Dharmakumar R, Jerosch-Herold M. T1 mapping: Basic techniques and clinical applications. JACC Cardiovasc Imaging 2016; 9(1): 67- 81. https://doi.org/10.1016/j.jcmg.2015.11.005. 4Messroghli DR, Radjenovic A, Kozerke S, Higgins DM, Sivananthan MU, Ridgway JP. Modified look-locker inversion recovery (MOLLI) for high-resolution T1 mapping of the heart. Magn Reson Med 2004; 52(1): 141- 146. 5Piechnik SK, Ferreira VM, Dall'Armellina E, et al. Shortened Modified look-locker inversion recovery (ShMOLLI) for clinical myocardial T1-mapping at 1.5 and 3 T within a 9 heartbeat breathhold. J Cardiovasc Magn Reson 2010; 12:69. https://doi.org/10.1186/1532-429X-12-69. 6Guo R, El-Rewaidy H, Assana S, et al. Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: A deep learning-based T1 estimation approach. J Cardiovasc Magn Reson 2022; 24: 6. https://doi.org/10.1186/s12968-021-00834-0. 7Le JV, Mendes JK, McKibben N, et al. Accelerated cardiac T1 mapping with recurrent networks and cyclic, model-based loss. Med Phys 2022; 49(11): 6986- 7000. https://doi.org/10.1002/mp.15801. 8Amyar A, Fahmy AS, Guo R, et al. Scanner-independent MyoMapNet for accelerated cardiac MRI T1 mapping across vendors and field strengths. J Magn Reson Imaging 2023; Epub ahead of print. 9Bento M, Fantini I, Park J, Rittner L, Frayne R. Deep learning in large and multi-site structural brain MR imaging datasets. Front Neuroinform 2022; 15:805669. https://doi.org/10.3389/fninf.2021.805669. 10Ganin Y, Lempitsky V. Unsupervised domain adaptation by backpropagation. In: Proceedings of the 32nd International Conference on Machine Learning, PMLR; 2015, p. 1180- 1189. Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation