Intraventricular dyssynchrony assessment using regional contraction from LV motion models

Avan Suinesiaputra; Brett R. Cowan; David A. Bluemke; Pau Medrano-Gracia; Daniel C. Lee; Jõao A C Lima; Alistair A. Young

doi:10.1007/978-3-642-38899-6_54

Intraventricular dyssynchrony assessment using regional contraction from LV motion models

Avan Suinesiaputra, Brett R. Cowan, David A. Bluemke, Pau Medrano-Gracia, Daniel C. Lee, Jõao A C Lima, Alistair A. Young

Medicine, Cardiology Division

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

1 Scopus citations

Abstract

A spatiotemporal 3D left ventricular (LV) motion model was developed to extract regional function for intra left ventricular dyssynchrony (intra-LVD). A finite element model was divided into the standard 17 segments. Temporal interpolation was performed by using periodic control theoretic smoothing splines. Intra-LVD was assessed in terms of systolic dyssynchrony index (SDI) by measuring the dispersion of time to reach peak regional ejection fraction (TPREF). We compared two patient groups: 300 asymptomatic (A: 139M/161F, mean age: 61±9.7 yrs) and 105 patients with myocardial infarction (P: 81M/24F, mean age: 63±10.2 yrs). Consistent regional variation in TPREF was observed in the A group, with the basal septal segments having later TPREF. Omitting these segments significantly reduced the SDI values in both groups (P < .001), but improved the statistical differences between cohorts (P: 8.46±4.15% vs A: 6.03±2.93% with basal septal segments; P: 7.24±4.08% vs A: 4.22±2.27% without). The mean Mahalanobis distance of the P group to the distribution of the A group was increased from 2.66±4.63% to 4.99±8.26% (P < .001). These results strongly suggest that basal septal regions should be removed from intra-LVD indices, to provide better discrimination between the two cohorts.

Original language	English (US)
Title of host publication	Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings
Pages	458-465
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-38899-6_54
State	Published - 2013
Event	7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013 - London, United Kingdom Duration: Jun 20 2013 → Jun 22 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7945 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013
Country/Territory	United Kingdom
City	London
Period	6/20/13 → 6/22/13

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-38899-6_54

Cite this

Suinesiaputra, A., Cowan, B. R., Bluemke, D. A., Medrano-Gracia, P., Lee, D. C., Lima, J. A. C., & Young, A. A. (2013). Intraventricular dyssynchrony assessment using regional contraction from LV motion models. In Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings (pp. 458-465). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7945 LNCS). https://doi.org/10.1007/978-3-642-38899-6_54

Suinesiaputra, Avan ; Cowan, Brett R. ; Bluemke, David A. et al. / Intraventricular dyssynchrony assessment using regional contraction from LV motion models. Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings. 2013. pp. 458-465 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{e277984312764dd892f9c1d9aa7da6c0,

title = "Intraventricular dyssynchrony assessment using regional contraction from LV motion models",

abstract = "A spatiotemporal 3D left ventricular (LV) motion model was developed to extract regional function for intra left ventricular dyssynchrony (intra-LVD). A finite element model was divided into the standard 17 segments. Temporal interpolation was performed by using periodic control theoretic smoothing splines. Intra-LVD was assessed in terms of systolic dyssynchrony index (SDI) by measuring the dispersion of time to reach peak regional ejection fraction (TPREF). We compared two patient groups: 300 asymptomatic (A: 139M/161F, mean age: 61±9.7 yrs) and 105 patients with myocardial infarction (P: 81M/24F, mean age: 63±10.2 yrs). Consistent regional variation in TPREF was observed in the A group, with the basal septal segments having later TPREF. Omitting these segments significantly reduced the SDI values in both groups (P < .001), but improved the statistical differences between cohorts (P: 8.46±4.15% vs A: 6.03±2.93% with basal septal segments; P: 7.24±4.08% vs A: 4.22±2.27% without). The mean Mahalanobis distance of the P group to the distribution of the A group was increased from 2.66±4.63% to 4.99±8.26% (P < .001). These results strongly suggest that basal septal regions should be removed from intra-LVD indices, to provide better discrimination between the two cohorts.",

author = "Avan Suinesiaputra and Cowan, {Brett R.} and Bluemke, {David A.} and Pau Medrano-Gracia and Lee, {Daniel C.} and Lima, {J{\~o}ao A C} and Young, {Alistair A.}",

year = "2013",

doi = "10.1007/978-3-642-38899-6_54",

language = "English (US)",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "458--465",

booktitle = "Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings",

note = "7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013 ; Conference date: 20-06-2013 Through 22-06-2013",

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Suinesiaputra, A, Cowan, BR, Bluemke, DA, Medrano-Gracia, P, Lee, DC, Lima, JAC & Young, AA 2013, Intraventricular dyssynchrony assessment using regional contraction from LV motion models. in Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7945 LNCS, pp. 458-465, 7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013, London, United Kingdom, 6/20/13. https://doi.org/10.1007/978-3-642-38899-6_54

Intraventricular dyssynchrony assessment using regional contraction from LV motion models. / Suinesiaputra, Avan; Cowan, Brett R.; Bluemke, David A. et al.
Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings. 2013. p. 458-465 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7945 LNCS).

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

TY - GEN

T1 - Intraventricular dyssynchrony assessment using regional contraction from LV motion models

AU - Suinesiaputra, Avan

AU - Cowan, Brett R.

AU - Bluemke, David A.

AU - Medrano-Gracia, Pau

AU - Lee, Daniel C.

AU - Lima, Jõao A C

AU - Young, Alistair A.

PY - 2013

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N2 - A spatiotemporal 3D left ventricular (LV) motion model was developed to extract regional function for intra left ventricular dyssynchrony (intra-LVD). A finite element model was divided into the standard 17 segments. Temporal interpolation was performed by using periodic control theoretic smoothing splines. Intra-LVD was assessed in terms of systolic dyssynchrony index (SDI) by measuring the dispersion of time to reach peak regional ejection fraction (TPREF). We compared two patient groups: 300 asymptomatic (A: 139M/161F, mean age: 61±9.7 yrs) and 105 patients with myocardial infarction (P: 81M/24F, mean age: 63±10.2 yrs). Consistent regional variation in TPREF was observed in the A group, with the basal septal segments having later TPREF. Omitting these segments significantly reduced the SDI values in both groups (P < .001), but improved the statistical differences between cohorts (P: 8.46±4.15% vs A: 6.03±2.93% with basal septal segments; P: 7.24±4.08% vs A: 4.22±2.27% without). The mean Mahalanobis distance of the P group to the distribution of the A group was increased from 2.66±4.63% to 4.99±8.26% (P < .001). These results strongly suggest that basal septal regions should be removed from intra-LVD indices, to provide better discrimination between the two cohorts.

AB - A spatiotemporal 3D left ventricular (LV) motion model was developed to extract regional function for intra left ventricular dyssynchrony (intra-LVD). A finite element model was divided into the standard 17 segments. Temporal interpolation was performed by using periodic control theoretic smoothing splines. Intra-LVD was assessed in terms of systolic dyssynchrony index (SDI) by measuring the dispersion of time to reach peak regional ejection fraction (TPREF). We compared two patient groups: 300 asymptomatic (A: 139M/161F, mean age: 61±9.7 yrs) and 105 patients with myocardial infarction (P: 81M/24F, mean age: 63±10.2 yrs). Consistent regional variation in TPREF was observed in the A group, with the basal septal segments having later TPREF. Omitting these segments significantly reduced the SDI values in both groups (P < .001), but improved the statistical differences between cohorts (P: 8.46±4.15% vs A: 6.03±2.93% with basal septal segments; P: 7.24±4.08% vs A: 4.22±2.27% without). The mean Mahalanobis distance of the P group to the distribution of the A group was increased from 2.66±4.63% to 4.99±8.26% (P < .001). These results strongly suggest that basal septal regions should be removed from intra-LVD indices, to provide better discrimination between the two cohorts.

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U2 - 10.1007/978-3-642-38899-6_54

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Suinesiaputra A, Cowan BR, Bluemke DA, Medrano-Gracia P, Lee DC, Lima JAC et al. Intraventricular dyssynchrony assessment using regional contraction from LV motion models. In Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings. 2013. p. 458-465. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-38899-6_54

Intraventricular dyssynchrony assessment using regional contraction from LV motion models

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