Skip to main content

Using spatial-temporal images for analysis of gated cardiac tomographic data: The “M-Mode” revisited

Part of the Lecture Notes in Computer Science book series (LNCS,volume 1230)

Abstract

Recent advances in SPECT and PET technology permit ECG gating of tomographic cardiac images, allowing simultaneous measurement of 3D cardiac ventricular function with perfusion/metabolism. Extracting indices of regional function from these 4D data sets (3D space + time) remains a challenge. All approaches currently used to quantitate gated tomographic sequences deal separately with the spatial and temporal data. As functional information is based on close coupling between spatial and temporal changes, it could be beneficial to produce an image combining spatial and temporal information. In this paper we describe a method for producing such spatialtemporal images and, using gated FDG PET data, test the ability of these images to improve visual and quantitative assessment of cardiac function. Other potential schemes to make use of the space-time nature of this new representation are also discussed.

Keywords

  • Feature Vector
  • Short Axis Image
  • Left Ventricle Function
  • Crest Line
  • Fourier Harmonic

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/3-540-63046-5_7
  • Chapter length: 14 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   109.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-69070-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   139.00
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. K. Yamashita, N. Tamaki, Y. Yonekura, H. Ohtani, H. Saji, T. Mukai, H. Kambara, C. Kawai, T. Ban and J. Konishi: Quantitative analysis of regional wall motion by gated myocardial positron emission tomography: validation and comparison with left ventriculography. J. Nucl. Med. 30, 1775–1786 (1989)

    PubMed  Google Scholar 

  2. K.T.A. Yang and H.D. Chen: A semi-automated method for edge detection in the evaluation of left ventricular function using ECG-gated single-photon emission tomography. Eur. J. Nucl. Med. 21, 1206–1211 (1994)

    PubMed  Google Scholar 

  3. G. Porenta, W. Kuhle, S. Sinha, J. Krivokapich, J. Czernin, S. S. Gambhir, M. E. Phelps and H. R. Schelbert: Parameter estimation of cardiac geometry by ECGgated PET imaging: validation using magnetic resonance imaging and echocardiography. J. Nucl. Med. 36, 1123–1129 (1995)

    PubMed  Google Scholar 

  4. K.A. Williams and L.A. Taillon: Gated planar technetium 99m-labeled sestamibi myocardial perfusion image inversion for quantitative scintigraphic assessment of left ventricular function. J. Nuc. Cardiol. 2, 285–295 (1995)

    Google Scholar 

  5. G. Germano, H. Kiat, P.B. Kavanagh, M. Moriel, M. Mazzanti, H.T. Su, K.F. Van Train and D.S. Berman: Automatic quantification of ejection fraction from gated myocardial perfusion SPECT. J. Nucl. Med. 36, 2138–2147 (1995)

    PubMed  Google Scholar 

  6. J.S. Barata: La radiokymographie cardiovasculaire. Presse Méd. 14, 277–279 (1939)

    Google Scholar 

  7. M.W.Groch, G.K. Lewis, P.H. Murphy, E.G. DePuey and J.A. Burdine: Radionuclide kymography for the assessment of regional myocardial wall motion. J. Nucl. Med. 19, 1131–1137 (1978)

    PubMed  Google Scholar 

  8. I. Buvat, M.L. Bartlett, A.N. Kitsiou, V.Dilsizian and S.L. Bacharach: A “hybrid” method for measuring myocardial wall thickening from gated PET/SPECT images (in press). J. Nucl. Med. (1997)

    Google Scholar 

  9. S.L. Bacharach, M.V. Green, D. Vitale, G. White, M. A. Douglas, R.O. Bonow and S.M. Larson: Optimum Fourier Filtering of Cardiac Data: A minimum error method. J. Nucl. Med. 1176–1184 (1983)

    Google Scholar 

  10. S. Siegel and N.J. Castellan: The change-point test. In: Nonparametric statistics for the behavioral sciences. New York: McGraw-Hill 1988, pp. 64–71

    Google Scholar 

  11. C. Marcassa, P. Marzullo, O. Parodi, G. Sambuceti and A. L'Abbate: A new method for non-invasive quantitation of segmental myocardial wall thickening using Technetium-99m 2-methoxy-isobutyl-isonitrile scintigraphy — results in normal subjects. J. Nucl. Med. 31, 173–177 (1990)

    PubMed  Google Scholar 

  12. T. Mochizuki, K. Murase, Y. Fujiwara, S. Tanada, K. Hamamoto and W.N. Tauxe: Assessment of systolic thickening with Thallium-201 ECG-gated singlephoton emission computed tomography: a parameter for local left ventricular function. J. Nucl. Med. 32, 1496–1500 (1991)

    PubMed  Google Scholar 

  13. M.L. Bartlett, I. Buvat, J.J. Vaquera López, D. Mok, V. Dilsizian and S.L. Bacharach: Measurement of myocardial wall thickening from PET/SPECT images: comparison of two methods. J. Comput. Assist. Tomogr. 20, 473–481 (1996)

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Buvat, I. et al. (1997). Using spatial-temporal images for analysis of gated cardiac tomographic data: The “M-Mode” revisited. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_7

Download citation

  • DOI: https://doi.org/10.1007/3-540-63046-5_7

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63046-3

  • Online ISBN: 978-3-540-69070-2

  • eBook Packages: Springer Book Archive