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.
Si
Scientifica
Capitolo o saggio
Artificial intelligence; Cardiac magnetic resonance; Diagnosis; Function; Myocardial tissue characterization; Prognosis;
English
Machine Learning in Cardiovascular Medicine
978-012820273-9
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].
Muscogiuri, G; Guglielmo, M; Baggiano, A; Fusini, L; Ricci, F; Cicala, G; Rabbat, M; Guaricci, A; Pontone, G
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/378696
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
Social impact