Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets


Autoria(s): 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(s)

22/10/2015

Resumo

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.

Formato

application/pdf

Identificador

http://hdl.handle.net/11110/995

Idioma(s)

eng

Publicador

European Heart Journal - Cardiovascular Imaging

Direitos

info:eu-repo/semantics/closedAccess

Palavras-Chave #cardiac cine MRI #left ventricular quantification #clinical validation #automatic segmentation #fast image processing
Tipo

info:eu-repo/semantics/article