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The ability of CMR to characterize myocardial tissue using T<jats:sub>1<\/jats:sub>\u2010 and T<jats:sub>2<\/jats:sub>\u2010weighted imaging, parametric mapping, and late gadolinium enhancement has allowed for the non\u2010invasive identification of specific pathologies not previously possible with modalities like echocardiography. However, CMR examinations are lengthy and technically complex, requiring multiple pulse sequences and different anatomical planes to comprehensively assess myocardial structure, function, and tissue composition. To increase the overall impact of this modality, there is a need to simplify and shorten CMR exams to improve access and efficiency, while also providing reproducible quantitative measurements. Multiparametric MRI techniques that measure multiple tissue properties offer one potential solution to this problem. This review provides an in\u2010depth look at one such multiparametric approach, cardiac magnetic resonance fingerprinting (MRF). The article is structured as follows. First, a brief review of single\u2010parametric and (non\u2010Fingerprinting) multiparametric CMR mapping techniques is presented. Second, a general overview of cardiac MRF is provided covering pulse sequence implementation, dictionary generation, fast k\u2010space sampling methods, and pattern recognition. Third, recent technical advances in cardiac MRF are covered spanning a variety of topics, including simultaneous multislice and 3D sampling, motion correction algorithms, cine MRF, synthetic multicontrast imaging, extensions to measure additional clinically important tissue properties (proton density fat fraction, T<jats:sub>2<\/jats:sub>*, and T<jats:sub>1\u03c1<\/jats:sub>), and deep learning methods for image reconstruction and parameter estimation. The last section will discuss potential clinical applications, concluding with a perspective on how multiparametric techniques like MRF may enable streamlined CMR protocols.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>5<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 1<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.29206","type":"journal-article","created":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T17:43:43Z","timestamp":1703785423000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Cardiac <scp>MR<\/scp> Fingerprinting: Overview, Technical Developments, and Applications"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6787-4269","authenticated-orcid":false,"given":"Imran","family":"Rashid","sequence":"first","affiliation":[{"name":"Department of Radiology University of Michigan  Ann Arbor Michigan 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