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

Sandro Queirós | Zendy; Daniel Barbosa | Zendy; Jan Engvall | Zendy; Tino Ebbers | Zendy; Eike Nagel | Zendy; Sebastian Imre Sarvari | Zendy; Piet Claus | Zendy; Jaime C. Fonseca | Zendy; João L. Vilaça | Zendy; Jan D’hooge | Zendy

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

Author(s) -

Sandro Queirós,

Daniel Barbosa,

Jan Engvall,

Tino Ebbers,

Eike Nagel,

Sebastian Imre Sarvari,

Piet Claus,

Jaime C. Fonseca,

João L. Vilaça,

Jan D’hooge

Publication year - 2015

Publication title -

european heart journal - cardiovascular imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.576

H-Index - 92

eISSN - 2047-2412

pISSN - 2047-2404

DOI - 10.1093/ehjci/jev247

Subject(s) - medicine , contouring , ejection fraction , cardiac magnetic resonance , cardiac magnetic resonance imaging , clinical practice , algorithm , end diastolic volume , segmentation , fully automatic , magnetic resonance imaging , ventricular function , artificial intelligence , automated method , stroke volume , nuclear medicine , cardiology , radiology , computer science , heart failure , mechanical engineering , computer graphics (images) , family medicine , engineering

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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