Automated Segmentation of Routine Clinical Cardiac Magnetic Resonance Imaging for Assessment of Left Ventricular Diastolic Dysfunction | Zendy

Keigo Kawaji | Zendy; Noel Codella | Zendy; Martin R. Prince | Zendy; Christopher Chu | Zendy; Aqsa Shakoor | Zendy; Troy LaBounty | Zendy; James K. Min | Zendy; Rajesh V. Swaminathan | Zendy; Richard B. Devereux | Zendy; Yi Wang | Zendy; Jonathan W. Weinsaft | Zendy

Open Access

Automated Segmentation of Routine Clinical Cardiac Magnetic Resonance Imaging for Assessment of Left Ventricular Diastolic Dysfunction

Author(s) -

Keigo Kawaji,

Noel Codella,

Martin R. Prince,

Christopher Chu,

Aqsa Shakoor,

Troy LaBounty,

James K. Min,

Rajesh V. Swaminathan,

Richard B. Devereux,

Yi Wang,

Jonathan W. Weinsaft

Publication year - 2009

Publication title -

circulation cardiovascular imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.584

H-Index - 99

eISSN - 1942-0080

pISSN - 1941-9651

DOI - 10.1161/circimaging.109.879304

Subject(s) - medicine , cardiology , diastole , magnetic resonance imaging , stroke volume , diastolic function , ventricle , heart rate , radiology , blood pressure

Cardiac magnetic resonance (CMR) is established for assessment of left ventricular (LV) systolic function but has not been widely used to assess diastolic function. This study tested performance of a novel CMR segmentation algorithm (LV-METRIC) for automated assessment of diastolic function.

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