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

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 i...

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Bibliographic Details
Main Author: Queiros, Sandro (author)
Other Authors: Barbosa, Daniel (author), Engvall, Jan (author), Ebbers, Tino (author), Nagel, Eike (author), Sarvari, Sebastian I. (author), Claus, Piet (author), Fonseca, Jaime C. (author), Vilaça, João L. (author), D’hooge, Jan (author)
Format: article
Language:eng
Published: 2016
Subjects:
cardiac cine MRI
left ventricular quantification
clinical validation
automatic segmentation
fast image processing
Online Access:http://hdl.handle.net/11110/995
Country:Portugal
Oai:oai:ciencipca.ipca.pt:11110/995
Description
Summary: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.

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