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

Siamak Ardekani, Saurabh Jain, Alianna Sanzi, Celia Corona Villalobos, Theodore P. Abraham, M. Roselle Abraham, Stefan Zimmerman, Katherine Chih-Ching Wu, Raimond Winslow, Michael I. Miller, Laurent Younes

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)12-23
Number of pages12
JournalMedical Image Analysis
Volume29
DOIs
StatePublished - Apr 1 2016

Fingerprint

Systole
Hypertrophic Cardiomyopathy
Magnetic resonance imaging
Heart Diseases
Magnetic Resonance Spectroscopy
Diastole
Magnetic resonance
Geometry
Left Ventricular Hypertrophy
Statistical methods
Classifiers
Research
Population
Substrates

Keywords

  • 3D left-ventricular geometry
  • Cardiac MRI
  • Cardiomyopathy
  • Surface-to-contour mapping

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Radiology Nuclear Medicine and imaging
  • Health Informatics
  • Radiological and Ultrasound Technology

Cite this

Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry. / Ardekani, Siamak; Jain, Saurabh; Sanzi, Alianna; Corona Villalobos, Celia; Abraham, Theodore P.; Abraham, M. Roselle; Zimmerman, Stefan; Wu, Katherine Chih-Ching; Winslow, Raimond; Miller, Michael I.; Younes, Laurent.

In: Medical Image Analysis, Vol. 29, 01.04.2016, p. 12-23.

Research output: Contribution to journalArticle

Ardekani, Siamak ; Jain, Saurabh ; Sanzi, Alianna ; Corona Villalobos, Celia ; Abraham, Theodore P. ; Abraham, M. Roselle ; Zimmerman, Stefan ; Wu, Katherine Chih-Ching ; Winslow, Raimond ; Miller, Michael I. ; Younes, Laurent. / Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry. In: Medical Image Analysis. 2016 ; Vol. 29. pp. 12-23.
@article{9a570c9064434c1b903b6b90ffb09cb0,
title = "Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry",
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.",
keywords = "3D left-ventricular geometry, Cardiac MRI, Cardiomyopathy, Surface-to-contour mapping",
author = "Siamak Ardekani and Saurabh Jain and Alianna Sanzi and {Corona Villalobos}, Celia and Abraham, {Theodore P.} and Abraham, {M. Roselle} and Stefan Zimmerman and Wu, {Katherine Chih-Ching} and Raimond Winslow and Miller, {Michael I.} and Laurent Younes",
year = "2016",
month = "4",
day = "1",
doi = "10.1016/j.media.2015.11.004",
language = "English (US)",
volume = "29",
pages = "12--23",
journal = "Medical Image Analysis",
issn = "1361-8415",
publisher = "Elsevier",

}

TY - JOUR

T1 - Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry

AU - Ardekani, Siamak

AU - Jain, Saurabh

AU - Sanzi, Alianna

AU - Corona Villalobos, Celia

AU - Abraham, Theodore P.

AU - Abraham, M. Roselle

AU - Zimmerman, Stefan

AU - Wu, Katherine Chih-Ching

AU - Winslow, Raimond

AU - Miller, Michael I.

AU - Younes, Laurent

PY - 2016/4/1

Y1 - 2016/4/1

N2 - 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.

AB - 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.

KW - 3D left-ventricular geometry

KW - Cardiac MRI

KW - Cardiomyopathy

KW - Surface-to-contour mapping

UR - http://www.scopus.com/inward/record.url?scp=84952946959&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84952946959&partnerID=8YFLogxK

U2 - 10.1016/j.media.2015.11.004

DO - 10.1016/j.media.2015.11.004

M3 - Article

C2 - 26766206

AN - SCOPUS:84952946959

VL - 29

SP - 12

EP - 23

JO - Medical Image Analysis

JF - Medical Image Analysis

SN - 1361-8415

ER -