Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness

Vera H.J. van Hal, Debbie Zhao, Kathleen Gilbert*, Thiranja P.Babarenda Gamage, Charlene Mauger, Robert N. Doughty, Malcolm E. Legget, Jichao Zhao, Aaqel Nalar, Oscar Camara, Alistair A. Young, Vicky Y. Wang, Martyn P. Nash

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

2 Citations (Scopus)

Abstract

The generation of kinematic models of the heart using 3D echocardiography (echo) can be difficult due to poor image contrast and signal dropout, particularly at the epicardial surface. 2D echo images generally have a better contrast-to-noise ratio compared to 3D echo images, thus wall thickness (WT) estimates from 2D echo may provide a reliable means to constrain model fits to 3D echo images. WT estimates were calculated by solving a pair of differential equations guided by a vector field, which is constructed from the solution of Laplace’s equation on binary segmentations of the left ventricular myocardium. We compared 2D echo derived WT estimates against values calculated using gold-standard cardiac cine magnetic resonance imaging (MRI) to assess reliability. We found that 2D echo WT estimates were higher compared to WT values from MRI at end-diastole with a mean difference of 1.3 mm (95% CI: 0.74–1.8 mm), 1.5 mm (95% CI: 0.91–2.1 mm) and 2.1 mm (95% CI: 1.6–2.6 mm) for basal, mid-ventricular and apical segments respectively. At end-systole, the WT estimates from MRI were higher compared to those derived from 2D echo with a mean difference of 2.6 mm (95% CI: 2.0–3.1 mm), 2.1 mm (95% CI: 1.5–2.7 mm) and 1.1 mm (95% CI: 0.49–1.7 mm) for basal, mid-ventricular and apical segments, respectively. The quantitative WT comparison in this study will contribute to the ongoing efforts to better translate kinematic modelling analyses from gold-standard cardiac MRI to the more widely accessible echocardiography.

Original languageEnglish
Title of host publicationStatistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Revised Selected Papers
EditorsMihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra
PublisherSPRINGER
Pages52-62
Number of pages11
ISBN (Print)9783030390730
DOIs
Publication statusPublished - 1 Jan 2020
Event10th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019 - Shenzhen, China
Duration: 13 Oct 201913 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12009 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019
Country/TerritoryChina
CityShenzhen
Period13/10/201913/10/2019

Keywords

  • Cardiac MRI
  • Echocardiography
  • Wall thickness

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