Log in

4. Conclusions

Results of the present study show that accurate estimates of myocardial blood flow may be obtained using a spatially distributed model of residual curves of an intravascular indicator. In order to improve myocardial blood flow reliability in blood flow estimates, also in presence of background noise inT/I curves, a wavelet-based denoising technique was successfully applied to residue curves.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Canada)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Graps A. An introduction to wavelet. IEEE Comp Sci Eng 1995;2(2).

  2. Bassingthwaighte JB, Chan ISJ, Wang CY. Computationally efficient algorithms for convection-permeation-diffusion models for blood-tissue exchange. Ann Biomed Eng 1992;20:687–725.

    Article  PubMed  CAS  Google Scholar 

  3. Kroll K, Wilke N, Jerosh-Herold M, Wang Y, Zhang Y, Bache RJ, Bassingthwaighte JB. Modeling regional myocardial flows from residue functions of an intravascular indicator. Am J Physiol 1966;271 (Heart Circ. Physiol. 40):H1643–55.

    Google Scholar 

  4. Lombardi M, Jones RA, Westby J, et al. Use of the mean transit time of an intravascular contrast agent as an exchange-insensitive index of myocardial perfusion. JMRI 1999;9:402–8.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. F. Santarelli.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Santarelli, M.F., Landini, L., Lombardi, M. et al. A model-based method for myocardium flow estimation. MAGMA 11, 87–88 (2000). https://doi.org/10.1007/BF02678507

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02678507

Keywords

Navigation