Open AccessFeature Tracking for Ventricular Strain Assessment in Heart Failure with Preserved Ejection Fraction
Author(s) -
Liang Zhong,
Shuang Leng,
Xiao-Dan Zhao,
Ru-San Tan
Publication year - 2020
Publication title -
2019 computing in cardiology (cinc)
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.257
H-Index - 55
ISSN - 2325-887X
ISBN - 978-1-7281-6936-1
DOI - 10.22489/cinc.2019.309
Subject(s) - bioengineering , computing and processing , signal processing and analysis
Impairment of left ventricular (LV) longitudinal function is recognized as an independent predictor of cardiac events in patients with heart failure (HF). 1 Strain imaging derived from speckle tracking echocardiography or feature tracking cardiovascular magnetic resonance (CMR) 2 permit assessments of myocardial function in the longitudinal direction, however, specific competencies and time-consuming protocols are often needed. Therefore, we aim to investigate a fast, semi-automated, and vendor-independent approach for accurate determination of LV longitudinal strain from standard cine CMR images.