Singular Value Decomposition Applied to Cardiac Strain from MR Imaging for Selection of Optimal Cardiac Resynchronization Therapy Candidates | Zendy

Raghav Ramachandran | Zendy; Xiao Chen | Zendy; Christopher M. Kramer | Zendy; Frederick H. Epstein | Zendy; Kenneth C. Bilchick | Zendy

Open Access

Singular Value Decomposition Applied to Cardiac Strain from MR Imaging for Selection of Optimal Cardiac Resynchronization Therapy Candidates

Author(s) -

Raghav Ramachandran,

Xiao Chen,

Christopher M. Kramer,

Frederick H. Epstein,

Kenneth C. Bilchick

Publication year - 2015

Publication title -

radiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.118

H-Index - 295

eISSN - 1527-1315

pISSN - 0033-8419

DOI - 10.1148/radiol.14141578

Subject(s) - medicine , cardiac resynchronization therapy , confidence interval , left bundle branch block , receiver operating characteristic , cardiology , qrs complex , heart failure , cardiac magnetic resonance imaging , logistic regression , singular value decomposition , algorithm , nuclear medicine , ejection fraction , magnetic resonance imaging , radiology , mathematics

To use singular value decomposition (SVD) in heart failure (HF) to reveal primary spatiotemporal strain patterns in the left ventricle (LV), then develop and test a time-independent metric of cardiac dyssynchrony on the basis of the circumferential uniformity ratio estimate (CURE) computed with SVD (CURE-SVD) in both a canine model of HF with or without left bundle branch block (LBBB) and a clinical cohort referred for cardiac resynchronization therapy (CRT).

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