Title
Characterization and quantification of curvature using independent coordinates method in the human left ventricle by magnetic resonance imaging to identify the morphology subtype of hypertrophy cardiomyopathy.
Abstract
The patterns of ventricular hypertrophy are critical determinants of blood flow and function, but are variable. Therefore, it is clinically relevant to assess the hypertrophic shape patterns to better characterize and identify the morphological subtypes. We proposed and developed an independent coordinates method (ICM) to quantify the regional shape of the left ventricle in terms of curvature. 19 normal subjects and 5 HCM (hypertrophic cardiomyopathy) patients with different morphological subtype (i.e., septal hypertrophy, mid-ventricular hypertrophy, reverse curvature septum hypertrophy and sigmoid septum hypertrophy) were recruited and underwent magnetic resonance scans. The curvature along the endocardial and epicardial surface was computed using ICM method and was compared in HCM patients against normal subjects. The results showed that curvature plots are variable in different morphological subtype. The curvature pattern demonstrated the utilities in delineating different subtype. In conclusion, ICM method to quantify regional curvature of the left ventricle from magnetic resonance imaging are feasible in normal subjects and those with hypertrophy cardiomyopathy, which may serve as a novel approach to depict local shape of the left ventricle and to assess the morphological subtype in clinical practice.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6944901
EMBC
Keywords
DocType
Volume
blood flow,cardiology,septal hypertrophy,diseases,human left ventricle,midventricular hypertrophy,sigmoid septum hypertrophy,hypertrophy cardiomyopathy,epicardial surface curvature computation,blood function,endocardial surface curvature computation,biomedical mri,morphology subtype identification,magnetic resonance imaging,independent coordinate method,reverse curvature septum hypertrophy,haemodynamics
Conference
2014
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
1
7
Name
Order
Citations
PageRank
Liang Zhong14312.20
Xiaodan Zhao214.20
Min Wan323.19
Junmei Zhang4259.11
Boyang Su5134.91
Hak Chiaw Tang600.68
Ru San Tan762.23