Skip to main content

Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12009))

Abstract

The generation of kinematic models of the heart using 3D echocardiography (echo) can be difficult due to poor image contrast and signal dropout, particularly at the epicardial surface. 2D echo images generally have a better contrast-to-noise ratio compared to 3D echo images, thus wall thickness (WT) estimates from 2D echo may provide a reliable means to constrain model fits to 3D echo images. WT estimates were calculated by solving a pair of differential equations guided by a vector field, which is constructed from the solution of Laplace’s equation on binary segmentations of the left ventricular myocardium. We compared 2D echo derived WT estimates against values calculated using gold-standard cardiac cine magnetic resonance imaging (MRI) to assess reliability. We found that 2D echo WT estimates were higher compared to WT values from MRI at end-diastole with a mean difference of 1.3 mm (95% CI: 0.74–1.8 mm), 1.5 mm (95% CI: 0.91–2.1 mm) and 2.1 mm (95% CI: 1.6–2.6 mm) for basal, mid-ventricular and apical segments respectively. At end-systole, the WT estimates from MRI were higher compared to those derived from 2D echo with a mean difference of 2.6 mm (95% CI: 2.0–3.1 mm), 2.1 mm (95% CI: 1.5–2.7 mm) and 1.1 mm (95% CI: 0.49–1.7 mm) for basal, mid-ventricular and apical segments, respectively. The quantitative WT comparison in this study will contribute to the ongoing efforts to better translate kinematic modelling analyses from gold-standard cardiac MRI to the more widely accessible echocardiography.

The authors gratefully acknowledge the Health Research Council of NZ for funding this project (17/608). This would not have been possible without the dedicated work of our research support staff, Craig McDougal, and the MRI technologists at Center of Advanced MRI, University of Auckland.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    www.itksnap.org.

References

  1. Alpert, C., et al.: Symptom burden in heart failure: assessment, impact on outcomes, and management. Heart Fail. Rev. 22(1), 25–39 (2017)

    Article  Google Scholar 

  2. Badano, L.P., Picano, E.: Standardized myocardial segmentation of the left ventricle. Stress Echocardiography, pp. 105–119. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20958-6_7

    Chapter  Google Scholar 

  3. Fox, J.: The R commander: a basic-statistics graphical user interface to RJ Stat. Software 14, 42 (2005)

    Google Scholar 

  4. Gonzalez, J.A., Kramer, C.M.: Role of imaging techniques for diagnosis, prognosis and management of heart failure patients: cardiac magnetic resonance. Curr. Hear. Fail. Rep. 12(4), 276–283 (2015)

    Article  Google Scholar 

  5. Jones, S.E., et al.: Three-dimensional mapping of cortical thickness using Laplace’s equation. Hum. Brain Mapp. 11(1), 12–32 (2000)

    Article  MathSciNet  Google Scholar 

  6. Lang, R.M., et al.: Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American society of echocardiography and the European association of cardiovascular imaging. Eur. Hear. J.-Cardiovasc. Imaging 16(3), 233–271 (2015)

    Article  Google Scholar 

  7. Park, E.A., et al.: Effect of papillary muscles and trabeculae on left ventricular measurement using cardiovascular magnetic resonance imaging in patients with hypertrophic cardiomyopathy. Korean J. Radiol. 16(1), 4–12 (2015)

    Article  Google Scholar 

  8. Patil, S., Ravi, B.: Voxel-based representation, display and thickness analysis of intricate shapes. In: Ninth International Conference on Computer Aided Design and Computer Graphics (CAD-CG 2005) (2005)

    Google Scholar 

  9. Ponikowski, P., et al.: 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the heart failure association (HFA) of the ESC. Eur. J. Hear. Fail. 18(8), 891–975 (2016)

    Google Scholar 

  10. Prasad, M., et al.: Quantification of 3D regional myocardial wall thickening from gated magnetic resonance images. J. Magn. Reson. Imaging 31(2), 317–327 (2010)

    Article  Google Scholar 

  11. Puyol-Antón, E., et al.: A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. Med. Image Anal. 40, 96–110 (2017)

    Article  Google Scholar 

  12. Sengupta, P.P., et al.: The new wave of cardiovascular biomechanics. JACC: Cardiovasc. Imaging 12(7), 1297–1299 (2019)

    Google Scholar 

  13. Sheehan, F.H., Bolson, E.L., Dodge, H.T., Mathey, D.G., Schofer, J., Woo, H.: Advantages and applications of the centerline method for characterizing regional ventricular function. Circulation 74(2), 293–305 (1986)

    Article  Google Scholar 

  14. Shimada, Y.J., Shiota, T.: A meta-analysis and investigation for the source of bias of left ventricular volumes and function by three-dimensional echocardiography in comparison with magnetic resonance imaging. Am. J. Cardiol. 107(1), 126–138 (2011)

    Article  Google Scholar 

  15. Wang, Y., et al.: A robust computational framework for estimating 3D bi-atrial chamber wall thickness. Trans. Biomed. Eng. (2019, under Revision)

    Google Scholar 

  16. Yezzi, A.J., Prince, J.L.: An eulerian PDE approach for computing tissue thickness. IEEE Trans. Med. Imaging 22(10), 1332–1339 (2003)

    Article  Google Scholar 

  17. Young, A.A., et al.: Left ventricular mass and volume: fast calculation with guide-point modeling on MR images. Radiology 216(2), 597–602 (2000)

    Article  Google Scholar 

  18. Yushkevich, P.A., et al.: User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3), 1116–1128 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kathleen Gilbert .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

van Hal, V.H.J. et al. (2020). Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness. In: Pop, M., et al. Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges. STACOM 2019. Lecture Notes in Computer Science(), vol 12009. Springer, Cham. https://doi.org/10.1007/978-3-030-39074-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-39074-7_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39073-0

  • Online ISBN: 978-3-030-39074-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics