Autor(es): Queiros, Sandro ; Barbosa, Daniel ; Engvall, Jan ; Ebbers, Tino ; Nagel, Eike ; Sarvari, Sebastian I. ; Claus, Piet ; Fonseca, Jaime C. ; Vilaça, João L. ; D’hooge, Jan
Data: 2016
Identificador Persistente: http://hdl.handle.net/11110/995
Origem: CiencIPCA
Assunto(s): cardiac cine MRI; left ventricular quantification; clinical validation; automatic segmentation; fast image processing
Quantitative analysis of cine cardiac magnetic resonance (CMR) images for the assessment of global left ventricular morphology and function remains a routine task in clinical cardiology practice. To date, this process requires user interaction and therefore prolongs the examination (i.e. cost) and introduces observer variability. In this study, we sought to validate the feasibility, accuracy, and time efficiency of a novel framework for automatic quantification of left ventricular global function in a clinical setting.
