Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/53084

TitleMulti-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets
Author(s)Queirós, Sandro Filipe Monteiro
Barbosa, Daniel Joaquim Cunha
Fonseca, Jaime C.
Vilaça, João L.
KeywordsAdult
Aged
Aged, 80 and over
Automation
Cohort Studies
Databases, Factual
Female
Humans
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging, Cine
Male
Middle Aged
Myocardial Ischemia
Observer Variation
Predictive Value of Tests
Quality Control
Stroke Volume
Ventricular Function, Left
Algorithms
cardiac cine MRI
left ventricular quantification
clinical validation
automatic segmentation
fast image processing
Issue dateOct-2016
PublisherOxford Univ Press
JournalEuropean Heart Journal-Cardiovascular Imaging
Abstract(s)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.
TypeArticle
URIhttp://hdl.handle.net/1822/53084
DOI10.1093/ehjci/jev247
ISSN20472404
Peer-Reviewedyes
AccessRestricted access (Author)
Appears in Collections:DEI - Artigos em revistas internacionais

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