A Training Engine for Automatic Quantification of Left Ventricular Trabeculation from Cardiac MRI | Zendy

Gregorio Bernabé | Zendy; Javier Cuenca | Zendy; Domingo Giménez | Zendy; Josefa GonzálezCarrillo | Zendy

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A Training Engine for Automatic Quantification of Left Ventricular Trabeculation from Cardiac MRI

Author(s) -

Gregorio Bernabé,

Javier Cuenca,

Domingo Giménez,

Josefa GonzálezCarrillo

Publication year - 2016

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2016.05.399

Subject(s) - computer science , ventricle , intensity (physics) , artificial intelligence , computer vision , medicine , cardiology , physics , quantum mechanics

Based on a software tool proposed for the automatic quantification of the exact hyper- trabeculation degree in the left ventricle myocardium, where the trabecular and the compacted zones are detected, we have designed, developed and tested a training engine for an automatic adjustment of the threshold to identify the trabecular zones and the intensity of the black zone in order to determine the external layer of the compacted zone

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