Image segmentation and modeling of the pediatric tricuspid valve in hypoplastic left heart syndrome

Alison M. Pouch, Ahmed H. Aly, Andras Lasso, Alexander V. Nguyen, Adam B. Scanlan, Francis X. McGowan, Gabor Fichtinger, Robert C. Gorman, Joseph H. Gorman, Paul A. Yushkevich, Matthew A. Jolley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hypoplastic left heart syndrome (HLHS) is a single-ventricle congenital heart disease that is fatal if left unpalliated. In HLHS patients, the tricuspid valve is the only functioning atrioventricular valve, and its competence is therefore critical. This work demonstrates the first automated strategy for segmentation, modeling, and morphometry of the tricuspid valve in transthoracic 3D echocardiographic (3DE) images of pediatric patients with HLHS. After initial landmark placement, the automated segmentation step uses multi-atlas label fusion and the modeling approach uses deformable modeling with medial axis representation to produce patient-specific models of the tricuspid valve that can be comprehensively and quantitatively assessed. In a group of 16 pediatric patients, valve segmentation and modeling attains an accuracy (mean boundary displacement) of 0.8 ± 0.2 mm relative to manual tracing and shows consistency in annular and leaflet measurements. In the future, such image-based tools have the potential to improve understanding and evaluation of tricuspid valve morphology in HLHS and guide strategies for patient care.

Original languageEnglish (US)
Title of host publicationFunctional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings
PublisherSpringer Verlag
Pages95-105
Number of pages11
Volume10263 LNCS
ISBN (Print)9783319594477
DOIs
StatePublished - 2017
Externally publishedYes
Event9th International Conference on Functional Imaging and Modelling of the Heart, FIMH 2017 - Toronto, Canada
Duration: Jun 11 2017Jun 13 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10263 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Functional Imaging and Modelling of the Heart, FIMH 2017
CountryCanada
CityToronto
Period6/11/176/13/17

Keywords

  • 3D echocardiography
  • Hypoplastic left heart syndrome
  • Medial axis representation
  • Multi-atlas segmentation
  • Tricuspid valve

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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