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

doi:10.1007/978-3-319-59448-4_10

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 proceeding › Conference contribution

7 Scopus citations

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 language	English (US)
Title of host publication	Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings
Publisher	Springer Verlag
Pages	95-105
Number of pages	11
Volume	10263 LNCS
ISBN (Print)	9783319594477
DOIs	https://doi.org/10.1007/978-3-319-59448-4_10
State	Published - 2017
Externally published	Yes
Event	9th International Conference on Functional Imaging and Modelling of the Heart, FIMH 2017 - Toronto, Canada Duration: Jun 11 2017 → Jun 13 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10263 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	9th International Conference on Functional Imaging and Modelling of the Heart, FIMH 2017
Country/Territory	Canada
City	Toronto
Period	6/11/17 → 6/13/17

Keywords

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

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-59448-4_10

Cite this

Pouch, A. M., Aly, A. H., Lasso, A., Nguyen, A. V., Scanlan, A. B., McGowan, F. X., Fichtinger, G., Gorman, R. C., Gorman, J. H., Yushkevich, P. A., & Jolley, M. A. (2017). Image segmentation and modeling of the pediatric tricuspid valve in hypoplastic left heart syndrome. In Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings (Vol. 10263 LNCS, pp. 95-105). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10263 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-59448-4_10

Image segmentation and modeling of the pediatric tricuspid valve in hypoplastic left heart syndrome. / Pouch, Alison M.; Aly, Ahmed H.; Lasso, Andras et al.
Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings. Vol. 10263 LNCS Springer Verlag, 2017. p. 95-105 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10263 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pouch, AM, Aly, AH, Lasso, A, Nguyen, AV, Scanlan, AB, McGowan, FX, Fichtinger, G, Gorman, RC, Gorman, JH, Yushkevich, PA & Jolley, MA 2017, Image segmentation and modeling of the pediatric tricuspid valve in hypoplastic left heart syndrome. in Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings. vol. 10263 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10263 LNCS, Springer Verlag, pp. 95-105, 9th International Conference on Functional Imaging and Modelling of the Heart, FIMH 2017, Toronto, Canada, 6/11/17. https://doi.org/10.1007/978-3-319-59448-4_10

Pouch AM, Aly AH, Lasso A, Nguyen AV, Scanlan AB, McGowan FX et al. Image segmentation and modeling of the pediatric tricuspid valve in hypoplastic left heart syndrome. In Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings. Vol. 10263 LNCS. Springer Verlag. 2017. p. 95-105. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-59448-4_10

Pouch, Alison M. ; Aly, Ahmed H. ; Lasso, Andras et al. / Image segmentation and modeling of the pediatric tricuspid valve in hypoplastic left heart syndrome. Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings. Vol. 10263 LNCS Springer Verlag, 2017. pp. 95-105 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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AU - McGowan, Francis X.

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AB - 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.

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

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Keywords

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