Diastolic function assessment with four-dimensional flow cardiovascular magnetic resonance using automatic deep learning E/A ratio analysis

Diastolic function assessment with four-dimensional flow cardiovascular magnetic resonance using automatic deep learning E/A ratio analysis

ABSTRACT: Background: Diastolic left ventricular (LV) dysfunction is a powerful contributor to the symptoms and prognosis of patients with heart failure. In patients with depressed LV systolic function, the E/A ratio, the ratio between the peak early (E) and the peak late (A) transmitral flow veloc...

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Bibliographic Details
Main Authors: Federica Viola, Mariana Bustamante, Ann Bolger, Jan Engvall, Tino Ebbers
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
4D Flow CMR
Diastolic function
EA ratio
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S109766472401069X

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http://www.sciencedirect.com/science/article/pii/S109766472401069X

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