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Robust model-based quantification of global ventricular torsion from spatially sparse three-dimensional time series data by orthogonal distance regression: Evaluation in a canine animal model under different pacing regimes

Zenker, S and Kim, HK and Clermont, G and Pinsky, MR (2013) Robust model-based quantification of global ventricular torsion from spatially sparse three-dimensional time series data by orthogonal distance regression: Evaluation in a canine animal model under different pacing regimes. PACE - Pacing and Clinical Electrophysiology, 36 (1). 13 - 23. ISSN 0147-8389

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Abstract

Background: Quantification of global ventricular rotational deformation, expressed as twist or torsion, and its dynamic changes is important in understanding the pathophysiology of heart disease and its therapy. Various techniques, such as sonomicrometry, allow tracking of specific sites within the myocardium. Quantification of twist from such data requires a longitudinal reference axis of rotation. Current methods require specific positioning and numbers of myocardial markers and assumptions about temporal positional evolution that may be violated during dyssynchronous contraction. Methods: We present a new method to assess myocardial twist that makes minimal fully explicit assumptions while removing extraneous assumptions, by performing a least squares orthogonal distance regression of all position data on an ellipsoidal ventricular model. Rotational deformation is quantified in terms of the ellipsoid's internal coordinate system, allowing intuitive visualization. Results: We tested this method on a set of sparse, noisy sonomicrometric crystal data in dogs under different pacing regimes to model dyssynchrony and cardiac resynchronization. We found that this method yielded robust and plausible data. This technique is also fully automated while identifying when data may be insufficient for reliable quantification of rotational deformation. Conclusion: This approach may allow future analysis of myocardial contraction with less tracking sites and relaxed positioning requirements while identifying situations where data are insufficient for reliable quantification of rotational deformation. ©2012 Wiley Periodicals, Inc.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Zenker, S
Kim, HKhyk11@pitt.eduHYK11
Clermont, Gcler@pitt.eduCLER
Pinsky, MRpinsky@pitt.eduPINSKY
Centers: Other Centers, Institutes, or Units > McGowan Institute for Regenerative Medicine
Date: 1 January 2013
Date Type: Publication
Journal or Publication Title: PACE - Pacing and Clinical Electrophysiology
Volume: 36
Number: 1
Page Range: 13 - 23
DOI or Unique Handle: 10.1111/j.1540-8159.2012.03496.x
Schools and Programs: School of Medicine > Critical Care Medicine
Refereed: Yes
ISSN: 0147-8389
PubMed ID: 22897587
Date Deposited: 29 Oct 2012 15:40
Last Modified: 02 Feb 2019 16:58
URI: http://d-scholarship.pitt.edu/id/eprint/16011

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