Open AccessSingular Value Decomposition Applied to Cardiac Strain from MR Imaging for Selection of Optimal Cardiac Resynchronization Therapy Candidates
Author(s) -
Raghav Ramachandran,
Changfeng Xiao,
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 , singular value decomposition , ventricle , cohort , algorithm , nuclear medicine , magnetic resonance imaging , ejection fraction , 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).