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Author Notes:

Corresponding Author: Ajit P. Yoganathan, 313 Ferst Dr., Atlanta, GA 30332, Ph. (404)894-2849, Fax (404) 894-4243, ajit.yoganathan@bme.gatech.edu.

The authors acknowledge Philips Medical Systems for their technical support in this study.

The authors also acknowledge Holifield Farms for providing the porcine hearts used in this study.

Subject:

Research Funding:

This study was supported by a research grant awarded by the National Institutes of Health (R01HL090661).

Keywords:

  • Science & Technology
  • Technology
  • Engineering, Biomedical
  • Engineering
  • Surgical planning
  • Computational methods
  • In vitro simulation
  • Heart valve
  • Medical imaging
  • Mitral regurgitation
  • 3-DIMENSIONAL TRANSESOPHAGEAL ECHOCARDIOGRAPHY
  • CHORDAL FORCE DISTRIBUTION
  • IN-VITRO QUANTIFICATION
  • SADDLE-SHAPED ANNULUS
  • COMPLEXITY
  • STRAIN

Accuracy of a Mitral Valve Segmentation Method Using J-Splines for Real-Time 3D Echocardiography Data

Tools:

Journal Title:

Annals of Biomedical Engineering

Volume:

Volume 41, Number 6

Publisher:

, Pages 1258-1268

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Patient-specific models of the heart's mitral valve (MV) exhibit potential for surgical planning. While advances in 3D echocardiography (3DE) have provided adequate resolution to extract MV leaflet geometry, no study has quantitatively assessed the accuracy of their modeled leaflets vs. a ground-truth standard for temporal frames beyond systolic closure or for differing valvular dysfunctions. The accuracy of a 3DE-based segmentation methodology based on J-splines was assessed for porcine MVs with known 4D leaflet coordinates within a pulsatile simulator during closure, peak closure, and opening for a control, prolapsed, and billowing MV model. For all time points, the mean distance error between the segmented models and ground-truth data were 0.40 ± 0.32 mm, 0.52 ± 0.51 mm, and 0.74 ± 0.69 mm for the control, flail, and billowing models. For all models and temporal frames, 95% of the distance errors were below 1.64 mm. When applied to a patient data set, segmentation was able to confirm a regurgitant orifice and post-operative improvements in coaptation. This study provides an experimental platform for assessing the accuracy of an MV segmentation methodology at phases beyond systolic closure and for differing MV dysfunctions. Results demonstrate the accuracy of a MV segmentation methodology for the development of future surgical planning tools.

Copyright information:

© 2013 Biomedical Engineering Society.

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