Literature DB >> 26766206

Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry.

Siamak Ardekani1, Saurabh Jain2, Alianna Sanzi2, Celia P Corona-Villalobos3, Theodore P Abraham3, M Roselle Abraham3, Stefan L Zimmerman3, Katherine C Wu3, Raimond L Winslow4, Michael I Miller5, Laurent Younes5.   

Abstract

The focus of this study was to develop advanced mathematical tools to construct high-resolution 3D models of left-ventricular (LV) geometry to evaluate focal geometric differences between patients with hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) using cardiac magnetic resonance (MR) cross-sectional images. A limiting factor in 3D analysis of cardiac MR cross-sections is the low out-of-plane resolution of the acquired images. To overcome this problem, we have developed a mathematical framework to construct a population-based high-resolution 3D LV triangulated surface (template) in which an iterative matching algorithm maps a surface mesh of a normal heart to a set of cross-sectional contours that were extracted from short-axis cine cardiac MR images of patients who were diagnosed with either HCM or HHD. A statistical analysis was conducted on deformations that were estimated at each surface node to identify shape differences at end-diastole (ED), end-systole (ES), and motion-related shape variation from ED to ES. Some significant shape difference in radial thickness was detected at ES. Differences of LV 3D surface geometry were identified focally on the basal anterior septum wall. Further research is needed to relate these findings to the HCM morphological substrate and to design a classifier to discriminate among different etiologies of LV hypertrophy.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D left-ventricular geometry; Cardiac MRI; Cardiomyopathy; Surface-to-contour mapping

Mesh:

Year:  2015        PMID: 26766206      PMCID: PMC4850908          DOI: 10.1016/j.media.2015.11.004

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  33 in total

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Authors:  Siamak Ardekani; Robert G Weiss; Albert C Lardo; Richard T George; Joao A C Lima; Katherine C Wu; Michael I Miller; Raimond L Winslow; Laurent Younes
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