Original Research

Quantification of 3D regional myocardial wall thickening from gated magnetic resonance images†

  1. Mithun Prasad PhD1,2,
  2. Amit Ramesh MSc1,2,
  3. Paul Kavanagh MSc1,2,
  4. Balaji K. Tamarappoo MD, PhD1,2,
  5. Ryo Nakazato MD1,2,
  6. James Gerlach CNMT1,2,
  7. Victor Cheng MD1,2,
  8. Louise E.J. Thomson MBChB1,2,
  9. Daniel S. Berman MD1,2,3,
  10. Guido Germano PhD1,2,3,
  11. Piotr J. Slomka PhD1,2,3,*

Article first published online: 23 JAN 2010

DOI: 10.1002/jmri.22033

Issue

Journal of Magnetic Resonance Imaging

Journal of Magnetic Resonance Imaging

Volume 31, Issue 2, pages 317–327, February 2010

Additional Information

How to Cite

Prasad, M., Ramesh, A., Kavanagh, P., Tamarappoo, B. K., Nakazato, R., Gerlach, J., Cheng, V., Thomson, L. E.J., Berman, D. S., Germano, G. and Slomka, P. J. (2010), Quantification of 3D regional myocardial wall thickening from gated magnetic resonance images. J. Magn. Reson. Imaging, 31: 317–327. doi: 10.1002/jmri.22033

Author Information

  1. 1

    Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA

  2. 2

    AIM Program/Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA

  3. 3

    David Geffen School of Medicine, University of California, Los Angeles, California, USA

*8700 Beverly Blvd., Ste. A047, Los Angeles, CA 90048

  1. †

    The contents are solely the responsibility of the authors and do not necessarily represent the official views of the NHLBI

Publication History

  1. Issue published online: 23 JAN 2010
  2. Article first published online: 23 JAN 2010
  3. Manuscript Accepted: 29 OCT 2009
  4. Manuscript Received: 18 DEC 2008

Funded by

  • National Heart, Lung, and Blood Institute (NHLBI)/National Institutes of Health. Grant Number: R0HL089765-01

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Keywords:

  • cardiac MRI;
  • wall thickening;
  • wall motion;
  • Laplace's equation;
  • visual clinical scores

Abstract

Purpose:

To develop 3D quantitative measures of regional myocardial wall motion and thickening using cardiac magnetic resonance imaging (MRI) and to validate them by comparison to standard visual scoring assessment.

Materials and Methods:

In all, 53 consecutive subjects with short-axis slices and mid-ventricular 2-chamber/4-chamber views were analyzed. After correction for breath-hold-related misregistration, 3D myocardial boundaries were fitted to images and edited by an imaging cardiologist. Myocardial thickness was quantified at end-diastole and end-systole by computing the 3D distances using Laplace's equation. 3D thickening was represented using the standard 17-segment polar coordinates. 3D thickening was compared with 3D wall motion and with expert visual scores (6-point visual scoring of wall motion and wall thickening; 0 = normal; 5 = greatest abnormality) assigned by imaging cardiologists.

Results:

Correlation between ejection fraction and thickening measurements was (r = 0.84; P < 0.001) compared to correlation between ejection fraction and motion measurements (r = 0.86; P < 0.001). Good negative correlation between summed visual scores and global wall thickening and motion measurements were also obtained (rthick = −0.79; rmotion = −0.74). Additionally, overall good correlation between individual segmental visual scores with thickening/wall motion (rthick = −0.69; rmotion = −0.65) was observed (P < 0.0001).

Conclusion:

3D quantitative regional thickening and wall motion measures obtained from MRI correlate strongly with expert clinical scoring. J. Magn. Reson. Imaging 2010; 31: 317–327. © 2010 Wiley-Liss, Inc.

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