Detection of pathological areas and estimation of viability parameters in late-enhancement cardiac MRI

Khaoula Elagouni (1) , Cybèle Ciofolo-Veit (1) , Benoît Mory (1) , Gilion Hautvast (2) , Marcel Breeuwer (2)

1 Medisys - MedisysResearch Lab
2 HI - CS&AD - Healthcare Informatics - Clinical Science & Advanced Development - Philips Medical Systems Nederlands B.V.

We propose a novel fully automatic method to detect and quantify pathological areas in late-enhancement cardiac MR images. The electronic version of this abstract is the complete one and can be found online at: http://jcmr-online.com/content/12/S1/P167

Domaines: Imagerie médicale; Traitement des images [eess.IV]

Khaoula Elagouni, Cybèle Ciofolo-Veit, Benoît Mory, Gilion Hautvast, Marcel Breeuwer. Detection of pathological areas and estimation of viability parameters in late-enhancement cardiac MRI. Society of Cardiovacular Magnetic Resonance 13th Annual Scientific Sessions (SCMR 2010), Jan 2010, Phoenix, AZ, United States. pp.167, ⟨10.1186/1532-429X-12-S1-P167⟩. ⟨hal-00508758⟩