Stochastic modeling for magnetic resonance quantification of myocardial blood flow

Ravi Teja Seethamraju, Olaf Muehling, Prasad M. Panse, Norbert M. Wilke, Michael Jerosch-Herold

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Quantification of myocardial blood flow is useful for determining the functional severity of coronary artery lesions. With advances in MR imaging it has become possible to assess myocardial perfusion and blood flow in a non-invasive manner by rapid serial imaging following injection of contrast agent. To date most approaches reported in the literature relied mostly on deriving relative indices of myocardial perfusion directly from the measured signal intensity curves. The central volume principle on the other hand states that it is possible to derive absolute myocardial blood flow from the tissue impulse response. Because of the sensitivity involved in deconvolution due to noise in measured data, conventional methods are suboptimal, hence, we propose to use stochastic time series modeling techniques like ARMA to obtain a robust impulse response estimate. It is shown that these methods when applied for the optimal estimation of the transfer function give accurate estimates of myocardial blood flow. The most significant advantage of this approach, compared with compartmental tracer kinetic models, is the use of a minimum set of prior assumptions on data. The bottleneck in assessing myocardial blood flow, does not lie in the MRI acquisition, but rather in the effort or time for post processing. It is anticipated that the very limited requirements for user input and interaction will be of significant advantage for the clinical application of these methods. The proposed methods are validated by comparison with mean blood flow measurements obtained from radio-isotope labeled microspheres.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages140-147
Number of pages8
Volume4121
StatePublished - 2000
Externally publishedYes
EventMathematical Modeling, Estimation, and Imaging - San Diego, USA
Duration: Jul 31 2000Aug 1 2000

Other

OtherMathematical Modeling, Estimation, and Imaging
CitySan Diego, USA
Period7/31/008/1/00

Fingerprint

Magnetic resonance
blood flow
magnetic resonance
Blood
Impulse response
impulses
autoregressive moving average
Imaging techniques
flow measurement
Deconvolution
Flow measurement
estimates
arteries
Microspheres
transfer functions
Magnetic resonance imaging
lesions
Isotopes
tracers
Transfer functions

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Seethamraju, R. T., Muehling, O., Panse, P. M., Wilke, N. M., & Jerosch-Herold, M. (2000). Stochastic modeling for magnetic resonance quantification of myocardial blood flow. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4121, pp. 140-147). Society of Photo-Optical Instrumentation Engineers.

Stochastic modeling for magnetic resonance quantification of myocardial blood flow. / Seethamraju, Ravi Teja; Muehling, Olaf; Panse, Prasad M.; Wilke, Norbert M.; Jerosch-Herold, Michael.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4121 Society of Photo-Optical Instrumentation Engineers, 2000. p. 140-147.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Seethamraju, RT, Muehling, O, Panse, PM, Wilke, NM & Jerosch-Herold, M 2000, Stochastic modeling for magnetic resonance quantification of myocardial blood flow. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 4121, Society of Photo-Optical Instrumentation Engineers, pp. 140-147, Mathematical Modeling, Estimation, and Imaging, San Diego, USA, 7/31/00.
Seethamraju RT, Muehling O, Panse PM, Wilke NM, Jerosch-Herold M. Stochastic modeling for magnetic resonance quantification of myocardial blood flow. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4121. Society of Photo-Optical Instrumentation Engineers. 2000. p. 140-147
Seethamraju, Ravi Teja ; Muehling, Olaf ; Panse, Prasad M. ; Wilke, Norbert M. ; Jerosch-Herold, Michael. / Stochastic modeling for magnetic resonance quantification of myocardial blood flow. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4121 Society of Photo-Optical Instrumentation Engineers, 2000. pp. 140-147
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