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• W4297905726 abstract "Magnetic resonance fingerprinting (MRF) is a fast MRI-based technique that allows for multiparametric quantitative characterization of the tissues of interest in a single acquisition. In particular, it has gained attention in the field of cardiac imaging due to its ability to provide simultaneous and co-registered myocardial T 1 and T 2 mapping in a single breath-held cardiac MRF scan, in addition to other parameters. Initial results in small healthy subject groups and clinical studies have demonstrated the feasibility and potential of MRF imaging. Ongoing research is being conducted to improve the accuracy, efficiency, and robustness of cardiac MRF. However, these improvements usually increase the complexity of image reconstruction and dictionary generation and introduce the need for sequence optimization. Each of these steps increase the computational demand and processing time of MRF. The latest advances in artificial intelligence (AI), including progress in deep learning and the development of neural networks for MRI, now present an opportunity to efficiently address these issues. Artificial intelligence can be used to optimize candidate sequences and reduce the memory demand and computational time required for reconstruction and post-processing. Recently, proposed machine learning-based approaches have been shown to reduce dictionary generation and reconstruction times by several orders of magnitude. Such applications of AI should help to remove these bottlenecks and speed up cardiac MRF, improving its practical utility and allowing for its potential inclusion in clinical routine. This review aims to summarize the latest developments in artificial intelligence applied to cardiac MRF. Particularly, we focus on the application of machine learning at different steps of the MRF process, such as sequence optimization, dictionary generation and image reconstruction." @default.
• W4297905726 created "2022-10-01" @default.
• W4297905726 creator A5009880092 @default.
• W4297905726 creator A5021055121 @default.
• W4297905726 creator A5043363489 @default.
• W4297905726 creator A5043466714 @default.
• W4297905726 date "2022-09-20" @default.
• W4297905726 modified "2023-10-14" @default.
• W4297905726 title "Artificial intelligence in cardiac magnetic resonance fingerprinting" @default.
• W4297905726 cites W1867572349 @default.
• W4297905726 cites W1874840714 @default.
• W4297905726 cites W1963427860 @default.
• W4297905726 cites W1985973687 @default.
• W4297905726 cites W2061708033 @default.
• W4297905726 cites W2076063813 @default.
• W4297905726 cites W2099944953 @default.
• W4297905726 cites W2108478561 @default.
• W4297905726 cites W2136544420 @default.
• W4297905726 cites W2137983211 @default.
• W4297905726 cites W2144288697 @default.
• W4297905726 cites W2150250285 @default.
• W4297905726 cites W2164919626 @default.
• W4297905726 cites W2174661749 @default.
• W4297905726 cites W2330484003 @default.
• W4297905726 cites W2510165053 @default.
• W4297905726 cites W2510528041 @default.
• W4297905726 cites W2525181859 @default.
• W4297905726 cites W2528491735 @default.
• W4297905726 cites W2552257291 @default.
• W4297905726 cites W2556214332 @default.
• W4297905726 cites W2576603068 @default.
• W4297905726 cites W2579231017 @default.
• W4297905726 cites W2590628585 @default.
• W4297905726 cites W2594014149 @default.
• W4297905726 cites W2604388535 @default.
• W4297905726 cites W2606182999 @default.
• W4297905726 cites W2610649603 @default.
• W4297905726 cites W2729740562 @default.
• W4297905726 cites W2732358925 @default.
• W4297905726 cites W2734891710 @default.
• W4297905726 cites W2747206966 @default.
• W4297905726 cites W2763651817 @default.
• W4297905726 cites W2771305881 @default.
• W4297905726 cites W2792832083 @default.
• W4297905726 cites W2795354529 @default.
• W4297905726 cites W2797196654 @default.
• W4297905726 cites W2798456213 @default.
• W4297905726 cites W2799761118 @default.
• W4297905726 cites W2804047627 @default.
• W4297905726 cites W2810581099 @default.
• W4297905726 cites W2811463215 @default.
• W4297905726 cites W2886401769 @default.
• W4297905726 cites W2891118307 @default.
• W4297905726 cites W2892768006 @default.
• W4297905726 cites W2896137040 @default.
• W4297905726 cites W2900350052 @default.
• W4297905726 cites W2902147031 @default.
• W4297905726 cites W2903747327 @default.
• W4297905726 cites W2909339748 @default.
• W4297905726 cites W2911386424 @default.
• W4297905726 cites W2912482351 @default.
• W4297905726 cites W2914314139 @default.
• W4297905726 cites W2919115771 @default.
• W4297905726 cites W2939704240 @default.
• W4297905726 cites W2947433363 @default.
• W4297905726 cites W2956767972 @default.
• W4297905726 cites W2962689831 @default.
• W4297905726 cites W2962734274 @default.
• W4297905726 cites W2962996460 @default.
• W4297905726 cites W2965578990 @default.
• W4297905726 cites W2968753319 @default.
• W4297905726 cites W2972406689 @default.
• W4297905726 cites W2972976643 @default.
• W4297905726 cites W2977559140 @default.
• W4297905726 cites W2980111715 @default.
• W4297905726 cites W2986358829 @default.
• W4297905726 cites W2986902914 @default.
• W4297905726 cites W2995456497 @default.
• W4297905726 cites W3001157157 @default.
• W4297905726 cites W3001319253 @default.
• W4297905726 cites W3007743770 @default.
• W4297905726 cites W3009687642 @default.
• W4297905726 cites W3013066257 @default.
• W4297905726 cites W3013522077 @default.
• W4297905726 cites W3015537524 @default.
• W4297905726 cites W3019742258 @default.
• W4297905726 cites W3026690960 @default.
• W4297905726 cites W3028888095 @default.
• W4297905726 cites W3030030520 @default.
• W4297905726 cites W3034432323 @default.
• W4297905726 cites W3035215060 @default.
• W4297905726 cites W3036319923 @default.
• W4297905726 cites W3045099931 @default.
• W4297905726 cites W3047103180 @default.
• W4297905726 cites W3047451937 @default.
• W4297905726 cites W3048384642 @default.
• W4297905726 cites W3049596695 @default.
• W4297905726 cites W3050528501 @default.
• W4297905726 cites W3086590218 @default.
• W4297905726 cites W3087925883 @default.

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