Image Segmentation and Modeling of the Pediatric Tricuspid Valve in Hypoplastic Left Heart Syndrome

Overview

Journal Funct Imaging Model Heart

Publisher Springer

Date 2018 May 15

PMID 29756127

Citations 12

Authors

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 3rd

Paul A Yushkevich

Matthew A Jolley

Affiliations

Soon will be listed here.

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.

Citing Articles

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