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Automated frame‐by‐frame endocardial border detection from cardiac magnetic resonance images for quantitative assessment of left ventricular function: Validation and clinical feasibility
Author(s) -
Corsi Cristiana,
Veronesi Federico,
Lamberti Claudio,
Bardo Dianna M.E.,
Jamison Ernest B.,
Lang Roberto M.,
MorAvi Victor
Publication year - 2009
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.21681
Subject(s) - cardiac cycle , ejection fraction , diastole , medicine , cardiology , magnetic resonance imaging , cardiac magnetic resonance , cardiac function curve , cardiac magnetic resonance imaging , nuclear medicine , radiology , heart failure , blood pressure
Purpose To develop a technique based on image noise distribution for automated endocardial border detection from cardiac magnetic resonance (CMR) images throughout the cardiac cycle, validate it, and test its clinical utility. Materials and Methods Images obtained in 36 patients were analyzed using custom software to obtain left ventricular (LV) volume throughout the cardiac cycle, end‐systolic and end‐diastolic LV volumes, and ejection fraction (EF). Validation against manually‐traced endocardial boundaries included intertechnique comparisons of LV volumes, slice areas, and border positions. Then, the clinical feasibility of the dynamic automated analysis of LV function was tested in 14 patients with normal LV function, 12 patients with systolic dysfunction, and 10 patients with diastolic dysfunction. Results Analysis time for one cardiac cycle was <15 minutes. Intertechnique comparisons resulted in high correlation (r > 0.96), small biases (volumes: –6 mL; EF: 4.6%) and narrow limits of agreement (volumes: 17.6 mL; EF: 9.2%). We found significant intergroup differences in multiple quantitative indices of systolic and diastolic function. Conclusion Fast, automated, dynamic detection of LV endocardial boundaries is feasible and allows accurate quantification of LV size and function, which is potentially clinically useful for objective assessment of systolic and diastolic dysfunction. J. Magn. Reson. Imaging 2009;29:560–568. © 2009 Wiley‐Liss, Inc.