Cardiac magnetic resonance (CMR) is the best-suited cardiac imaging modality to provide reliable and reproducible information regarding cardiac volumes, function, and tissue characterization. In clinical practice, artificial intelligence (AI) in CMR can be applied to the whole process, ranging from sequence reconstruction, image analysis, and reporting of findings. In sequence reconstruction, the application of AI is mainly focused on the speed of reconstruction, while in image analysis and reporting AI is primarily aimed at automating the process of segmentation of both ventricles as well as fibrotic tissue. Within the realm of tissue characterization, AI can also be helpful in the depiction of tissue abnormalities from noncontrast images. Finally, AI can be useful for prognostic stratification.

Muscogiuri, G., Guglielmo, M., Baggiano, A., Fusini, L., Ricci, F., Cicala, G., et al. (2021). Magnetic resonance imaging and artificial intelligence. In Machine Learning in Cardiovascular Medicine (pp. 241-253). Elsevier [10.1016/B978-0-12-820273-9.00010-5].

Magnetic resonance imaging and artificial intelligence

Muscogiuri G.;
2021

Abstract

Cardiac magnetic resonance (CMR) is the best-suited cardiac imaging modality to provide reliable and reproducible information regarding cardiac volumes, function, and tissue characterization. In clinical practice, artificial intelligence (AI) in CMR can be applied to the whole process, ranging from sequence reconstruction, image analysis, and reporting of findings. In sequence reconstruction, the application of AI is mainly focused on the speed of reconstruction, while in image analysis and reporting AI is primarily aimed at automating the process of segmentation of both ventricles as well as fibrotic tissue. Within the realm of tissue characterization, AI can also be helpful in the depiction of tissue abnormalities from noncontrast images. Finally, AI can be useful for prognostic stratification.
Capitolo o saggio
Artificial intelligence; Cardiac magnetic resonance; Diagnosis; Function; Myocardial tissue characterization; Prognosis;
English
Machine Learning in Cardiovascular Medicine
29-gen-2021
2021
978-012820273-9
Elsevier
241
253
Muscogiuri, G., Guglielmo, M., Baggiano, A., Fusini, L., Ricci, F., Cicala, G., et al. (2021). Magnetic resonance imaging and artificial intelligence. In Machine Learning in Cardiovascular Medicine (pp. 241-253). Elsevier [10.1016/B978-0-12-820273-9.00010-5].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/378696
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